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ann_class2/extra_reading.txt

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@@ -28,4 +28,7 @@ Advances in optimizing Recurrent Networks by Yoshua Bengio, Section 3.5
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http://arxiv.org/pdf/1212.0901v2.pdf
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
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https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf
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https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf
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The Loss Surfaces of Multilayer Networks
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https://arxiv.org/pdf/1412.0233.pdf

tf2.0/extra_reading.txt

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@@ -24,4 +24,7 @@ Practical Deep Reinforcement Learning Approach for Stock Trading
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https://arxiv.org/abs/1811.07522
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Inceptionism: Going Deeper into Neural Networks
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https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html
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https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html
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The Loss Surfaces of Multilayer Networks
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https://arxiv.org/pdf/1412.0233.pdf

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