Comments (6)
xiaowuhu
commented on August 15, 2024
1
这个问题前几天是我理解错了，双边逼近法是近似计算导数的方法，存在的误差在文章后面有讲述，而我当时理解成了一个公式(类似柯西中值定理)。
好的,感谢您的认真阅读。笔者水平有限，如果发现什么错误的地方请继续纠错。方便的话，可以直接联系我：[email protected]。
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fancy-mit-cse
commented on August 15, 2024
【12.2 梯度检查】
求助：公式2的双边逼近法的公式为什么是正确的呢？
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xiaowuhu
commented on August 15, 2024
由泰勒展开公式和导数的定义，可以决定其近似正确性。
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fancy-mit-cse
commented on August 15, 2024
这个问题前几天是我理解错了，双边逼近法是近似计算导数的方法，存在的误差在文章后面有讲述，而我当时理解成了一个公式(类似柯西中值定理)。
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wugang521
commented on August 15, 2024
手写数字那个代码的数据在哪里呢？
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xiaowuhu
commented on August 15, 2024
手写数字那个代码的数据在哪里呢？
可以直接使用MINIST手写数字数据集，在网上下载一下。
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Related Issues (20)
- All pictures missing (A2-神经网络基本原理 README.md) HOT 1
- 有个公式中的值希望您能帮我解答一下 HOT 2
- 无法下载数据> 请问，数据在哪里down HOT 6
- 这个章节图片无法显示 HOT 1
- B15-基于深度学习的代码搜索案例中爬取好的数据集链接失效
- 图片加载失败 -- 神经网络基本原理教程说明 HOT 1
- 数据包下载路径访问异常,无法正常下载 HOT 4
- mkdocs build 图片不显示 HOT 2
- H
- 17.3.1 计算反向传播的梯度矩阵 公式 1,2,3,4 显示错误
- 1.3.3 神经网络中的矩阵运算 公式显示错误 HOT 2
- 1.3 插图中的文案错误
- Education it
- 大量图片路径错误 HOT 2
- 大量图片路径错误 HOT 3
- 请教一个L1正则中的疑惑 HOT 1
- 图片内容错误 HOT 3
- 图片加载不出 HOT 5
- 实践案例中的量化交易的源代码无法找到
- 请问这个项目以后还会更新吗？ HOT 2
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