tf2.0.7ztf2.0.7ztf2.0.7ztf2.0.7ztf2.0.7ztf2.0.7ztf2.0.7ztf2.0.7z

Gradient Descent: Convergence Analysis http://www.stat.cmu.edu/~ryantibs/convexopt-F13/scribes/lec6.pdf Deep learning improved by biological activation functions https://arxiv.org/pdf/1804.11237.pdf Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe, Christian Szegedy https://arxiv.org/abs/1502.03167 Dropout: A Simple Way to Prevent Neural Networks from Overfitting https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf Convolution arithmetic tutorial http://deeplearning.net/software/theano_versions/dev/tutorial/conv_arithmetic.html On the Practical Computational Power of Finite Precision RNNs for Language Recognition https://arxiv.org/abs/1805.04908 Massive Exploration of Neural Machine Translation Architectures https://arxiv.org/abs/1703.03906 Practical Deep Reinforcement Learning Approach for Stock Trading https://arxiv.org/abs/1811.07522 Inceptionism: Going Deeper into Neural Networks https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html The Loss Surfaces of Multilayer Networks https://arxiv.org/pdf/1412.0233.pdf