吴恩达教授的DeepLearning.AI课程值得看很多遍, 每一遍都能有所收获. 看课程时收集到的有价值资料记录如下:
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详细课堂笔记
英文版: github: mbadry1/DeepLearning.ai-Summary
中文版:
1.1. 吴恩达Coursera深度学习课程 deeplearning.ai 目录
1.2. DeepLearning课程笔记传送门 -
所有作业的完整代码:
中文版:
2.1 ericjjj/coursera
2.2 HighDSpace/deeplearning.ai_JupyterNotebooks
英文版: Kulbear/deep-learning-coursera -
一个单隐藏层神经网络的底层python实现(不使用框架):
deep-learning-coursera/Neural Networks and Deep Learning/Planar data classification with one hidden layer.ipynb -
一个多层深度神经网络的底层python实现(不使用框架), 包括forward、backward propagation的公式讲解, 矩阵的向量化操作细节:
deep-learning-coursera/Neural Networks and Deep Learning/Building your Deep Neural Network - Step by Step.ipynb -
Dropout的具体实现代码:
HighDSpace/deeplearning.ai_JupyterNotebooks