吴恩达深度学习编程作业答案

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序列模型和注意力机制","children":[{"title":"machine-translation","children":[{"title":"Neural+machine+translation+with+attention+-+v3-finished.ipynb <span style='color:#111;'> 85.19KB </span>","children":null,"spread":false},{"title":"Neural+machine+translation+with+attention+-+v3-starter.ipynb <span style='color:#111;'> 31.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"trigger-word-detection","children":[{"title":"Trigger+word+detection+-+v1-finished.ipynb <span style='color:#111;'> 23.15MB </span>","children":null,"spread":false},{"title":"Trigger+word+detection+-+v1-starter.ipynb <span style='color:#111;'> 53.08KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"4 卷积神经网络","children":[{"title":"Week2 深层卷积神经网络实例探究","children":[{"title":"dp_hw2.png <span style='color:#111;'> 497.44KB </span>","children":null,"spread":false},{"title":"4.2 深度卷积网络模型","children":[{"title":"ResNets","children":[{"title":"Residual 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