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<label class="md-nav__link" for="__nav_2">
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基础教程
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="基础教程" data-md-level="1">
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<label class="md-nav__title" for="__nav_2">
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<span class="md-nav__icon md-icon"></span>
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基础教程
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/" class="md-nav__link">
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本页介绍
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</a>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2" type="checkbox" id="__nav_2_2" >
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<label class="md-nav__link" for="__nav_2_2">
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神经网络基本原理
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" aria-label="神经网络基本原理" data-md-level="2">
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<label class="md-nav__title" for="__nav_2_2">
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<span class="md-nav__icon md-icon"></span>
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神经网络基本原理
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/" class="md-nav__link">
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本课介绍
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</a>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_2" type="checkbox" id="__nav_2_2_2" >
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<label class="md-nav__link" for="__nav_2_2_2">
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第一步、基本知识
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<span class="md-nav__icon md-icon"></span>
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</label>
|
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<nav class="md-nav" aria-label="第一步、基本知识" data-md-level="3">
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<label class="md-nav__title" for="__nav_2_2_2">
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<span class="md-nav__icon md-icon"></span>
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第一步、基本知识
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/00%20%E5%89%8D%E8%A8%80/" class="md-nav__link">
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00 前言
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/01%20%E7%AC%AC%E4%B8%80%E6%AD%A5%20-%20%E6%A6%82%E8%AE%BA%E4%B8%8E%E5%9F%BA%E6%9C%AC%E6%A6%82%E5%BF%B5/" class="md-nav__link">
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01 概论与基本概念
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/01.0-%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%8F%91%E5%B1%95%E7%AE%80%E5%8F%B2/" class="md-nav__link">
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01.0 人工智能发展简史
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/01.1-%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E5%AE%9A%E4%B9%89/" class="md-nav__link">
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01.2 人工智能的定义
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/01.2-%E8%8C%83%E5%BC%8F%E7%9A%84%E6%BC%94%E5%8C%96/" class="md-nav__link">
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01.2 范式的演化
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/01.3-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E5%9F%BA%E6%9C%AC%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
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01.3 神经网络的基本工作原理
|
|
</a>
|
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</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/02.0-%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD%E4%B8%8E%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D/" class="md-nav__link">
|
|
02.0 反向传播与梯度下降
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/02.1-%E7%BA%BF%E6%80%A7%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD/" class="md-nav__link">
|
|
02.1 线性反向传播
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/02.2-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD/" class="md-nav__link">
|
|
02.2 非线性反向传播
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/02.3-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D/" class="md-nav__link">
|
|
02.3 梯度下降
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/03.0-%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0/" class="md-nav__link">
|
|
03.0 损失函数
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
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|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/03.1-%E5%9D%87%E6%96%B9%E5%B7%AE%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0/" class="md-nav__link">
|
|
03.1 均方差损失函数
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC1%E6%AD%A5%20-%20%E5%9F%BA%E6%9C%AC%E7%9F%A5%E8%AF%86/03.2-%E4%BA%A4%E5%8F%89%E7%86%B5%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0/" class="md-nav__link">
|
|
03.2 交叉熵损失函数
|
|
</a>
|
|
</li>
|
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|
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</ul>
|
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</nav>
|
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</li>
|
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<li class="md-nav__item md-nav__item--nested">
|
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|
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_3" type="checkbox" id="__nav_2_2_3" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_3">
|
|
第二步、线性回归
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第二步、线性回归" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_3">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第二步、线性回归
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04%20%E7%AC%AC%E4%BA%8C%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/" class="md-nav__link">
|
|
04 线性回归
|
|
</a>
|
|
</li>
|
|
|
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|
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|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.0-%E5%8D%95%E5%85%A5%E5%8D%95%E5%87%BA%E5%8D%95%E5%B1%82-%E5%8D%95%E5%8F%98%E9%87%8F%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/" class="md-nav__link">
|
|
04.0 单变量线性回归
|
|
</a>
|
|
</li>
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.1-%E6%9C%80%E5%B0%8F%E4%BA%8C%E4%B9%98%E6%B3%95/" class="md-nav__link">
|
|
04.1 最小二乘法
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.2-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95/" class="md-nav__link">
|
|
04.2 梯度下降法
|
|
</a>
|
|
</li>
|
|
|
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.3-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%B3%95/" class="md-nav__link">
|
|
04.3 神经网络法
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.4-%E5%A4%9A%E6%A0%B7%E6%9C%AC%E8%AE%A1%E7%AE%97/" class="md-nav__link">
|
|
04.4 多样本计算
|
|
</a>
|
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</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/04.5-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%9A%84%E4%B8%89%E7%A7%8D%E5%BD%A2%E5%BC%8F/" class="md-nav__link">
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04.5 梯度下降的三种形式
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.0-%E5%A4%9A%E5%85%A5%E5%8D%95%E5%87%BA%E5%8D%95%E5%B1%82-%E5%A4%9A%E5%8F%98%E9%87%8F%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/" class="md-nav__link">
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05.0 多变量线性回归
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.1-%E6%AD%A3%E8%A7%84%E6%96%B9%E7%A8%8B%E6%B3%95/" class="md-nav__link">
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05.1 正规方程法
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%B3%95/" class="md-nav__link">
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05.2 神经网络法
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.3-%E6%A0%B7%E6%9C%AC%E7%89%B9%E5%BE%81%E6%95%B0%E6%8D%AE%E6%A0%87%E5%87%86%E5%8C%96/" class="md-nav__link">
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05.3 样本特征数据标准化
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.4-%E8%BF%98%E5%8E%9F%E5%8F%82%E6%95%B0%E5%80%BC/" class="md-nav__link">
|
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05.4 还原参数值
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.5-%E6%AD%A3%E7%A1%AE%E7%9A%84%E6%8E%A8%E7%90%86%E6%96%B9%E6%B3%95/" class="md-nav__link">
|
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05.5 正确的推理方法
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC2%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/05.6-%E6%A0%87%E5%87%86%E5%8C%96%E6%A0%87%E7%AD%BE%E5%80%BC/" class="md-nav__link">
|
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05.6 标准化标签值
|
|
</a>
|
|
</li>
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</ul>
|
|
</nav>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
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|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_4" type="checkbox" id="__nav_2_2_4" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_4">
|
|
第三步、线性分类
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第三步、线性分类" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_4">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第三步、线性分类
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06%20%E7%AC%AC%E4%B8%89%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
06 线性分类
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.0-%E5%A4%9A%E5%85%A5%E5%8D%95%E5%87%BA%E5%8D%95%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C-%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
06. 线性二分类
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.1-%E4%BA%8C%E5%88%86%E7%B1%BB%E5%87%BD%E6%95%B0/" class="md-nav__link">
|
|
06.1 二分类函数
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.2-%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
|
06.2 线性二分类实现
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.3-%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
06.3 线性二分类的工作原理
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.4-%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB%E7%BB%93%E6%9E%9C%E5%8F%AF%E8%A7%86%E5%8C%96/" class="md-nav__link">
|
|
06.4 线性二分类结果可视化
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
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|
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|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.5-%E5%AE%9E%E7%8E%B0%E9%80%BB%E8%BE%91%E4%B8%8E%E6%88%96%E9%9D%9E%E9%97%A8/" class="md-nav__link">
|
|
06.5 实现逻辑与或非门
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/06.6-%E7%94%A8%E5%8F%8C%E6%9B%B2%E6%AD%A3%E5%88%87%E5%87%BD%E6%95%B0%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
06.6 用双曲正切函数分类
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
|
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/07.0-%E5%A4%9A%E5%85%A5%E5%A4%9A%E5%87%BA%E5%8D%95%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C-%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
07.0 线性多分类
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
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|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/07.1-%E5%A4%9A%E5%88%86%E7%B1%BB%E5%87%BD%E6%95%B0/" class="md-nav__link">
|
|
07.1 多分类函数
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/07.2-%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
|
07.2 线性多分类实现
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/07.3-%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
07.3 线性多分类的工作原理
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC3%E6%AD%A5%20-%20%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/07.4-%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB%E7%BB%93%E6%9E%9C%E5%8F%AF%E8%A7%86%E5%8C%96/" class="md-nav__link">
|
|
07.4 线性多分类结果可视化
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
</ul>
|
|
</nav>
|
|
</li>
|
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<li class="md-nav__item md-nav__item--nested">
|
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|
|
|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_5" type="checkbox" id="__nav_2_2_5" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_5">
|
|
第四步、非线性回归
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第四步、非线性回归" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_5">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第四步、非线性回归
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/08%20%E7%AC%AC%E5%9B%9B%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/" class="md-nav__link">
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08 非线性回归
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/08.0-%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0/" class="md-nav__link">
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08.0 激活函数
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/08.1-%E6%8C%A4%E5%8E%8B%E5%9E%8B%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0/" class="md-nav__link">
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08.1 挤压型激活函数
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/08.2-%E5%8D%8A%E7%BA%BF%E6%80%A7%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0/" class="md-nav__link">
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08.2 半线性激活函数
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.0-%E5%8D%95%E5%85%A5%E5%8D%95%E5%87%BA%E5%8F%8C%E5%B1%82-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/" class="md-nav__link">
|
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09.0 非线性回归
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.1-%E5%A4%9A%E9%A1%B9%E5%BC%8F%E5%9B%9E%E5%BD%92%E6%B3%95%E6%8B%9F%E5%90%88%E6%AD%A3%E5%BC%A6%E6%9B%B2%E7%BA%BF/" class="md-nav__link">
|
|
09.1 多项式回归法拟合正弦曲线
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.2-%E5%A4%9A%E9%A1%B9%E5%BC%8F%E5%9B%9E%E5%BD%92%E6%B3%95%E6%8B%9F%E5%90%88%E5%A4%8D%E5%90%88%E5%87%BD%E6%95%B0%E6%9B%B2%E7%BA%BF/" class="md-nav__link">
|
|
09.2 多项式回归法拟合复合函数曲线
|
|
</a>
|
|
</li>
|
|
|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.3-%E9%AA%8C%E8%AF%81%E4%B8%8E%E6%B5%8B%E8%AF%95/" class="md-nav__link">
|
|
09.3 验证与测试
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.4-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E7%9A%84%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
|
09.4 神经网络非线性回归的实现
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
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|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.5-%E6%9B%B2%E7%BA%BF%E6%8B%9F%E5%90%88/" class="md-nav__link">
|
|
09.5 曲线拟合
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.6-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
09.6 非线性回归的工作原理
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC4%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/09.7-%E5%8F%82%E6%95%B0%E8%B0%83%E4%BC%98%E5%88%9D%E6%AD%A5/" class="md-nav__link">
|
|
09.7 参数调优初步
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
</ul>
|
|
</nav>
|
|
</li>
|
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|
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|
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|
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|
|
<li class="md-nav__item md-nav__item--nested">
|
|
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|
|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_6" type="checkbox" id="__nav_2_2_6" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_6">
|
|
第五步、非线性分类
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第五步、非线性分类" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_6">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第五步、非线性分类
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10%20%E7%AC%AC%E4%BA%94%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
10 非线性分类
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.0-%E5%A4%9A%E5%85%A5%E5%8D%95%E5%87%BA%E5%8F%8C%E5%B1%82-%E9%9D%9E%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
10.0 非线性二分类
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.1-%E4%B8%BA%E4%BB%80%E4%B9%88%E5%BF%85%E9%A1%BB%E7%94%A8%E5%8F%8C%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
10.1 为什么必须用双层神经网络
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.2-%E9%9D%9E%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
|
10.2 非线性二分类实现
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.3-%E5%AE%9E%E7%8E%B0%E9%80%BB%E8%BE%91%E5%BC%82%E6%88%96%E9%97%A8/" class="md-nav__link">
|
|
10.3 实现逻辑异或门
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.4-%E9%80%BB%E8%BE%91%E5%BC%82%E6%88%96%E9%97%A8%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
10.4 逻辑异或门的工作原理
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.5-%E5%AE%9E%E7%8E%B0%E5%8F%8C%E5%BC%A7%E5%BD%A2%E4%BA%8C%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
10.5 实现双弧形二分类
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/10.6-%E5%8F%8C%E5%BC%A7%E5%BD%A2%E4%BA%8C%E5%88%86%E7%B1%BB%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
10.6 双弧形二分类的工作原理
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/11.0-%E5%A4%9A%E5%85%A5%E5%A4%9A%E5%87%BA%E5%8F%8C%E5%B1%82-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
|
11.0 非线性多分类
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/11.1-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
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11.1 非线性多分类实现
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/11.2-%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%A4%9A%E5%88%86%E7%B1%BB%E7%9A%84%E5%B7%A5%E4%BD%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
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11.2 非线性多分类的工作原理
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/11.3-%E5%88%86%E7%B1%BB%E6%A0%B7%E6%9C%AC%E4%B8%8D%E5%B9%B3%E8%A1%A1%E9%97%AE%E9%A2%98/" class="md-nav__link">
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11.3 分类样本不平衡问题
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/12.0-%E5%A4%9A%E5%85%A5%E5%A4%9A%E5%87%BA%E4%B8%89%E5%B1%82-%E5%A4%9A%E5%8F%98%E9%87%8F%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/" class="md-nav__link">
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12.0 多变量非线性分类
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/12.1-%E4%B8%89%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
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12.1 三层神经网络的实现
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/12.2-%E6%A2%AF%E5%BA%A6%E6%A3%80%E6%9F%A5/" class="md-nav__link">
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12.2 梯度检查
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC5%E6%AD%A5%20-%20%E9%9D%9E%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB/12.3-%E5%AD%A6%E4%B9%A0%E7%8E%87%E4%B8%8E%E6%89%B9%E5%A4%A7%E5%B0%8F/" class="md-nav__link">
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12.3 学习率与批大小
|
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_7" type="checkbox" id="__nav_2_2_7" >
|
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|
<label class="md-nav__link" for="__nav_2_2_7">
|
|
第六步、模型部署
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第六步、模型部署" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_7">
|
|
<span class="md-nav__icon md-icon"></span>
|
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第六步、模型部署
|
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</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC6%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/13%20%E7%AC%AC%E5%85%AD%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%8E%A8%E7%90%86%E4%B8%8E%E9%83%A8%E7%BD%B2/" class="md-nav__link">
|
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13 模型的推理与部署
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC6%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/13.0-%E6%89%8B%E5%B7%A5%E6%B5%8B%E8%AF%95%E8%AE%AD%E7%BB%83%E6%95%88%E6%9E%9C/" class="md-nav__link">
|
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13.0 手工测试训练效果
|
|
</a>
|
|
</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC6%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/13.1-%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6%E6%A6%82%E8%BF%B0/" class="md-nav__link">
|
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13.1 模型文件概述
|
|
</a>
|
|
</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC6%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/13.2-ONNX%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6/" class="md-nav__link">
|
|
13.2 ONNX模型文件
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC6%E6%AD%A5%20-%20%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2/13.3-Windows%E4%B8%AD%E6%A8%A1%E5%9E%8B%E7%9A%84%E9%83%A8%E7%BD%B2/" class="md-nav__link">
|
|
13.3 Windows中模型的部署
|
|
</a>
|
|
</li>
|
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</ul>
|
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_8" type="checkbox" id="__nav_2_2_8" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_8">
|
|
第七步、深度神经网络
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第七步、深度神经网络" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_8">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第七步、深度神经网络
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14%20%E7%AC%AC%E4%B8%83%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
14 深度神经网络
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.0-%E6%90%AD%E5%BB%BA%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%A1%86%E6%9E%B6/" class="md-nav__link">
|
|
14.0 搭建深度神经网络框架
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.1-%E5%9B%9E%E5%BD%92%E4%BB%BB%E5%8A%A1%E5%8A%9F%E8%83%BD%E6%B5%8B%E8%AF%95/" class="md-nav__link">
|
|
14.1 回归任务功能测试
|
|
</a>
|
|
</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.2-%E5%9B%9E%E5%BD%92%E4%BB%BB%E5%8A%A1%E7%9C%9F%E5%AE%9E%E6%A1%88%E4%BE%8B/" class="md-nav__link">
|
|
14.2 回归任务真实案例
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.3-%E4%BA%8C%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1%E5%8A%9F%E8%83%BD%E6%B5%8B%E8%AF%95/" class="md-nav__link">
|
|
14.3 二分类任务功能测试
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.4-%E4%BA%8C%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1%E7%9C%9F%E5%AE%9E%E6%A1%88%E4%BE%8B/" class="md-nav__link">
|
|
14.4 二分类任务真实案例
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.5-%E5%A4%9A%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1%E5%8A%9F%E8%83%BD%E6%B5%8B%E8%AF%95/" class="md-nav__link">
|
|
14.5 多分类任务功能测试
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/14.6-%E5%A4%9A%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1%E7%9C%9F%E5%AE%9E%E6%A1%88%E4%BE%8B/" class="md-nav__link">
|
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14.6多分类任务真实案例
|
|
</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.0-%E7%BD%91%E7%BB%9C%E4%BC%98%E5%8C%96/" class="md-nav__link">
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15.0 网络优化
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.1-%E6%9D%83%E9%87%8D%E7%9F%A9%E9%98%B5%E5%88%9D%E5%A7%8B%E5%8C%96/" class="md-nav__link">
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15.1 权重矩阵初始化
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.2-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95/" class="md-nav__link">
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15.2 梯度下降优化算法
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.3-%E8%87%AA%E9%80%82%E5%BA%94%E5%AD%A6%E4%B9%A0%E7%8E%87%E7%AE%97%E6%B3%95/" class="md-nav__link">
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15.3 自适应学习率算法
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.4-%E7%AE%97%E6%B3%95%E6%95%88%E6%9E%9C%E6%AF%94%E8%BE%83/" class="md-nav__link">
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15.4 算法效果比较
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.5-%E6%89%B9%E9%87%8F%E5%BD%92%E4%B8%80%E5%8C%96%E7%9A%84%E5%8E%9F%E7%90%86/" class="md-nav__link">
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15.5 批量归一化的原理
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/15.6-%E6%89%B9%E9%87%8F%E5%BD%92%E4%B8%80%E5%8C%96%E7%9A%84%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
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15.6 批量归一化的实现
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.0-%E6%AD%A3%E5%88%99%E5%8C%96/" class="md-nav__link">
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16.0 正则化
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.1-%E5%81%8F%E5%B7%AE%E4%B8%8E%E6%96%B9%E5%B7%AE/" class="md-nav__link">
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16.1 偏差与方差
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.2-L2%E6%AD%A3%E5%88%99/" class="md-nav__link">
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16.2 L2正则
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.3-L1%E6%AD%A3%E5%88%99/" class="md-nav__link">
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16.3 L1正则
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.4-%E6%97%A9%E5%81%9C%E6%B3%95/" class="md-nav__link">
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16.4 早停法
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.5-%E4%B8%A2%E5%BC%83%E6%B3%95/" class="md-nav__link">
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16.5 丢弃法
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.6-%E6%95%B0%E6%8D%AE%E6%89%A9%E5%B1%95/" class="md-nav__link">
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16.6 数据扩展
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC7%E6%AD%A5%20-%20%E6%B7%B1%E5%BA%A6%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/16.7-%E9%9B%86%E6%88%90%E5%AD%A6%E4%B9%A0/" class="md-nav__link">
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16.7 集成学习
|
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_9" type="checkbox" id="__nav_2_2_9" >
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<label class="md-nav__link" for="__nav_2_2_9">
|
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第八步、卷积神经网络
|
|
<span class="md-nav__icon md-icon"></span>
|
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</label>
|
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<nav class="md-nav" aria-label="第八步、卷积神经网络" data-md-level="3">
|
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<label class="md-nav__title" for="__nav_2_2_9">
|
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<span class="md-nav__icon md-icon"></span>
|
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第八步、卷积神经网络
|
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17%20%E7%AC%AC%E5%85%AB%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
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17 卷积神经网络
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.0-%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
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17.0 卷积神经网络原理
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.1-%E5%8D%B7%E7%A7%AF%E7%9A%84%E5%89%8D%E5%90%91%E8%AE%A1%E7%AE%97%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
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17.1 卷积的前向计算原理
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.2-%E5%8D%B7%E7%A7%AF%E5%89%8D%E5%90%91%E8%AE%A1%E7%AE%97%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
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17.2 卷积前向计算代码实现
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.3-%E5%8D%B7%E7%A7%AF%E7%9A%84%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
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17.3 卷积的反向传播原理
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.4-%E5%8D%B7%E7%A7%AF%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
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17.4 卷积反向传播代码实现
|
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/17.5-%E6%B1%A0%E5%8C%96%E7%9A%84%E5%89%8D%E5%90%91%E8%AE%A1%E7%AE%97%E4%B8%8E%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD/" class="md-nav__link">
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17.5 池化的前向计算与反向传播
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.0-%E7%BB%8F%E5%85%B8%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9E%8B/" class="md-nav__link">
|
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18.0 经典卷积神经网络模型
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.1-%E5%AE%9E%E7%8E%B0%E9%A2%9C%E8%89%B2%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.1 实现颜色分类
|
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.2-%E5%AE%9E%E7%8E%B0%E5%87%A0%E4%BD%95%E5%9B%BE%E5%BD%A2%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.2 实现几何图形分类
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.3-%E5%AE%9E%E7%8E%B0%E5%87%A0%E4%BD%95%E5%9B%BE%E5%BD%A2%E5%8F%8A%E9%A2%9C%E8%89%B2%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.3 实现几何图形及颜色分类
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.4-MNIST%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.4 MNIST分类
|
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</a>
|
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</li>
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.5-Fashion-MNIST%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.5 Fashion-MNIST分类
|
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</a>
|
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</li>
|
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<li class="md-nav__item">
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC8%E6%AD%A5%20-%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/18.6-Cifar-10%E5%88%86%E7%B1%BB/" class="md-nav__link">
|
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18.6 Cifar-10分类
|
|
</a>
|
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</li>
|
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</ul>
|
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</nav>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_2_10" type="checkbox" id="__nav_2_2_10" >
|
|
|
|
<label class="md-nav__link" for="__nav_2_2_10">
|
|
第九步、循环神经网络
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
<nav class="md-nav" aria-label="第九步、循环神经网络" data-md-level="3">
|
|
<label class="md-nav__title" for="__nav_2_2_10">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
第九步、循环神经网络
|
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</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19%20%E7%AC%AC%E4%B9%9D%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
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19 循环神经网络
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.0-%E6%99%AE%E9%80%9A%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.0 普通循环神经网络
|
|
</a>
|
|
</li>
|
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.1-%E4%B8%A4%E4%B8%AA%E6%97%B6%E9%97%B4%E6%AD%A5%E7%9A%84%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.1 两个时间步的循环神经网络
|
|
</a>
|
|
</li>
|
|
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|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.2-%E5%9B%9B%E4%B8%AA%E6%97%B6%E9%97%B4%E6%AD%A5%E7%9A%84%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.2 四个时间步的循环神经网络
|
|
</a>
|
|
</li>
|
|
|
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|
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|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.3-%E9%80%9A%E7%94%A8%E7%9A%84%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%A8%A1%E5%9E%8B/" class="md-nav__link">
|
|
19.3 通用的循环神经网络模型
|
|
</a>
|
|
</li>
|
|
|
|
|
|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.4-%E7%A9%BA%E6%B0%94%E8%B4%A8%E9%87%8F%E9%A2%84%E6%B5%8B/" class="md-nav__link">
|
|
19.4 空气质量预测
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.5-%E4%B8%8D%E5%AE%9A%E9%95%BF%E6%97%B6%E5%BA%8F%E7%9A%84%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.5 不定长时序的循环神经网络
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.6-%E6%B7%B1%E5%BA%A6%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.6 深度循环神经网络
|
|
</a>
|
|
</li>
|
|
|
|
|
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|
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|
|
<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/19.7-%E5%8F%8C%E5%90%91%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
19.7 双向循环神经网络
|
|
</a>
|
|
</li>
|
|
|
|
|
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<li class="md-nav__item">
|
|
<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/20.0-%E9%AB%98%E7%BA%A7%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/" class="md-nav__link">
|
|
20.0 高级循环神经网络
|
|
</a>
|
|
</li>
|
|
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/20.1-LSTM%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
20.1 LSTM基本原理
|
|
</a>
|
|
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/20.2-LSTM%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/" class="md-nav__link">
|
|
20.2 LSTM代码实现
|
|
</a>
|
|
</li>
|
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|
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|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/20.3-GRU%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/" class="md-nav__link">
|
|
20.3 GRU基本原理
|
|
</a>
|
|
</li>
|
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<li class="md-nav__item">
|
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<a href="../../%E5%9F%BA%E7%A1%80%E6%95%99%E7%A8%8B/A2-%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86/%E7%AC%AC9%E6%AD%A5%20-%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/20.4-%E5%BA%8F%E5%88%97%E5%88%B0%E5%BA%8F%E5%88%97/" class="md-nav__link">
|
|
20.4 序列到序列
|
|
</a>
|
|
</li>
|
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</ul>
|
|
</nav>
|
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</li>
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</ul>
|
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</nav>
|
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
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|
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_2_3" type="checkbox" id="__nav_2_3" >
|
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|
|
<label class="md-nav__link" for="__nav_2_3">
|
|
现代软件工程
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
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3.故事分析
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4.什么是软件工程
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5.软件工程领域知识
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6.软件工程在微软
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4.微软的软件工程师
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5.团队流程
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6.木头与团队合作的故事
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3. CUDA实现和优化
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4 AllReduce的实现和优化
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<a href="../../基础教程/A6-人工智能系统/Labs/BasicLabs/Lab5/README.md" class="md-nav__link">
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<a href="../../基础教程/A6-人工智能系统/Labs/AdvancedLabs/Lab6/README.md" class="md-nav__link">
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<a href="../../基础教程/A6-人工智能系统/Labs/AdvancedLabs/Lab7/README.md" class="md-nav__link">
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8 自动机器学习系统练习
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<a href="../../基础教程/A6-人工智能系统/Labs/AdvancedLabs/Lab9/README.md" class="md-nav__link">
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9 强化学习系统练习
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本页介绍
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1.漫画翻译
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3.看图识熊
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4.智能家居
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5.文本朗读应用
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6.搭建中间服务层
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</a>
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7.手写数字识别
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</a>
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<li class="md-nav__item">
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8.黄金点游戏
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9.手写算式计算器
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</a>
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10.机器学习平台建设
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</a>
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11.量化交易案例
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12.基于近邻图的向量搜索案例
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</a>
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<li class="md-nav__item">
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13.AI对联生成案例
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14.快速构建中文文本蕴含深度学习模型
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</a>
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15.基于深度学习的代码搜索案例
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</a>
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16.基于LightGBM的时间序列预测
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<h1>Index</h1>
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