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118 Commitshttps://github.com/wanghaohn/HyperDL-Tutorial/commits/master/
https://github.com/wanghaohn/HyperDL-Tutorial/commits/master/
1.常见深度学习框架https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/1.%E5%B8%B8%E8%A7%81%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6
1.常见深度学习框架https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/1.%E5%B8%B8%E8%A7%81%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6
2.基础网络https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/2.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C
2.基础网络https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/2.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C
3.神经网络的优化https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/3.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E4%BC%98%E5%8C%96
3.神经网络的优化https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/3.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E4%BC%98%E5%8C%96
4.模型之间的转换https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/4.%E6%A8%A1%E5%9E%8B%E4%B9%8B%E9%97%B4%E7%9A%84%E8%BD%AC%E6%8D%A2
4.模型之间的转换https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/4.%E6%A8%A1%E5%9E%8B%E4%B9%8B%E9%97%B4%E7%9A%84%E8%BD%AC%E6%8D%A2
5.适用于移动端的框架https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/5.%E9%80%82%E7%94%A8%E4%BA%8E%E7%A7%BB%E5%8A%A8%E7%AB%AF%E7%9A%84%E6%A1%86%E6%9E%B6
5.适用于移动端的框架https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/5.%E9%80%82%E7%94%A8%E4%BA%8E%E7%A7%BB%E5%8A%A8%E7%AB%AF%E7%9A%84%E6%A1%86%E6%9E%B6
6.神经网络的设计https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/6.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%BE%E8%AE%A1
6.神经网络的设计https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/6.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%BE%E8%AE%A1
7.神经网络的适用场景https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/7.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E9%80%82%E7%94%A8%E5%9C%BA%E6%99%AF
7.神经网络的适用场景https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/7.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E9%80%82%E7%94%A8%E5%9C%BA%E6%99%AF
8.基础网络的训练https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/8.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%AD%E7%BB%83
8.基础网络的训练https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/8.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%AD%E7%BB%83
9.相关面试题https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/9.%E7%9B%B8%E5%85%B3%E9%9D%A2%E8%AF%95%E9%A2%98
9.相关面试题https://github.com/wanghaohn/HyperDL-Tutorial/tree/master/9.%E7%9B%B8%E5%85%B3%E9%9D%A2%E8%AF%95%E9%A2%98
README.mdhttps://github.com/wanghaohn/HyperDL-Tutorial/blob/master/README.md
README.mdhttps://github.com/wanghaohn/HyperDL-Tutorial/blob/master/README.md
READMEhttps://github.com/wanghaohn/HyperDL-Tutorial
https://github.com/wanghaohn/HyperDL-Tutorial#hyperdl-tutorial
https://github.com/wanghaohn/HyperDL-Tutorial#目录
常见深度学习框架https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/1.%E5%B8%B8%E8%A7%81%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%A1%86%E6%9E%B6/README.md
基础网络https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/2.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C/README.md
神经网络的优化https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/3.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E4%BC%98%E5%8C%96/README.md
模型之间的转换https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/4.%E6%A8%A1%E5%9E%8B%E4%B9%8B%E9%97%B4%E7%9A%84%E8%BD%AC%E6%8D%A2/README.md
适用于移动端的框架https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/5.%E9%80%82%E7%94%A8%E4%BA%8E%E7%A7%BB%E5%8A%A8%E7%AB%AF%E7%9A%84%E6%A1%86%E6%9E%B6/README.md
神经网络的设计https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/6.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%BE%E8%AE%A1/README.md
神经网络的适用场景https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/7.%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E9%80%82%E7%94%A8%E5%9C%BA%E6%99%AF/README.md
基础网络的训练https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/8.%E5%9F%BA%E7%A1%80%E7%BD%91%E7%BB%9C%E7%9A%84%E8%AE%AD%E7%BB%83/README.md
相关面试题https://github.com/wanghaohn/HyperDL-Tutorial/blob/master/9.%E7%9B%B8%E5%85%B3%E9%9D%A2%E8%AF%95%E9%A2%98/README.md
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