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Microsoft/ai-edu
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Ai-edu
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基础教程
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基础教程
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本页介绍
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神经网络基本原理
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神经网络基本原理
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本课介绍
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第一步、基本知识
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第一步、基本知识
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00 前言
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01 概论与基本概念
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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.html" class="md-nav__link">
01.0 人工智能发展简史
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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.html" class="md-nav__link">
01.2 人工智能的定义
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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.html" class="md-nav__link">
01.2 范式的演化
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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.html" class="md-nav__link">
01.3 神经网络的基本工作原理
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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.html" class="md-nav__link">
02.0 反向传播与梯度下降
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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.html" class="md-nav__link">
02.1 线性反向传播
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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.html" class="md-nav__link">
02.2 非线性反向传播
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02.3 梯度下降
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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.html" class="md-nav__link">
03.0 损失函数
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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%86/03.1-%E5%9D%87%E6%96%B9%E5%B7%AE%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0.html" class="md-nav__link">
03.1 均方差损失函数
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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%86/03.2-%E4%BA%A4%E5%8F%89%E7%86%B5%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0.html" class="md-nav__link">
03.2 交叉熵损失函数
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第二步、线性回归
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第二步、线性回归
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04 线性回归
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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%92/04.0-%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.html" class="md-nav__link">
04.0 单变量线性回归
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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%92/04.1-%E6%9C%80%E5%B0%8F%E4%BA%8C%E4%B9%98%E6%B3%95.html" class="md-nav__link">
04.1 最小二乘法
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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%92/04.2-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.html" class="md-nav__link">
04.2 梯度下降法
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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.html" class="md-nav__link">
04.3 神经网络法
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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.html" class="md-nav__link">
04.4 多样本计算
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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.html" class="md-nav__link">
04.5 梯度下降的三种形式
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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.html" class="md-nav__link">
05.0 多变量线性回归
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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.html" class="md-nav__link">
05.1 正规方程法
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</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%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.html" class="md-nav__link">
05.2 神经网络法
</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%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.html" class="md-nav__link">
05.3 样本特征数据标准化
</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%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.html" class="md-nav__link">
05.4 还原参数值
</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%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.html" class="md-nav__link">
05.5 正确的推理方法
</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%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.html" class="md-nav__link">
05.6 标准化标签值
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item md-nav__item--nested">
<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>
<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.html" class="md-nav__link">
06 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%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.html" class="md-nav__link">
06. 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%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.html" class="md-nav__link">
06.1 二分类函数
</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/06.2-%E7%BA%BF%E6%80%A7%E4%BA%8C%E5%88%86%E7%B1%BB%E5%AE%9E%E7%8E%B0.html" class="md-nav__link">
06.2 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%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.html" class="md-nav__link">
06.3 线性二分类的工作原理
</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%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.html" class="md-nav__link">
06.4 线性二分类结果可视化
</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/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.html" class="md-nav__link">
06.5 实现逻辑与或非门
</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%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.html" class="md-nav__link">
06.6 用双曲正切函数分类
</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%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.html" class="md-nav__link">
07.0 线性多分类
</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%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.html" 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.html" class="md-nav__link">
07.2 线性多分类实现
</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%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.html" class="md-nav__link">
07.3 线性多分类的工作原理
</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%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.html" class="md-nav__link">
07.4 线性多分类结果可视化
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item md-nav__item--nested">
<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>
<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%92/08%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.html" class="md-nav__link">
08 非线性回归
</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%92/08.0-%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0.html" class="md-nav__link">
08.0 激活函数
</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%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.html" class="md-nav__link">
08.1 挤压型激活函数