These are some basic materials about deep learning, hope helpful to these beginners!

Filename	Size	Update
2.1 Model	0	2017-07-04
2.1 Model\Batch Normalization_ Accelerating Deep Network Training b.pdf	173548	2017-07-04
2.1 Model\Binarized Neural Networks_ Training Neural Networks with Weights and Activations Constrained to+ 1 or_1.pdf	427906	2017-07-04
2.1 Model\Decoupled Neural Interfaces using Synthetic Gradients.pdf	5869214	2017-07-04
2.1 Model\Dropout_ A Simple Way to Prevent Neural Networks from.pdf	2869033	2017-07-04
2.1 Model\Improving neural networks by preventing.pdf	1665256	2017-07-04
2.1 Model\Layer Normalization.pdf	612446	2017-07-04
2.1 Model\Net2net_ Accelerating learning via knowledge transfer.pdf	514031	2017-07-04
2.1 Model\Network Morphism.pdf	1114781	2017-07-04
2.2 Optimization	0	2017-07-04
2.2 Optimization\Adam_ A method for stochastic optimization.pdf	584641	2017-07-04
2.2 Optimization\Deep compression_ Compressing deep neural network with pruning	trained quantization and huffman coding.pdf	1055865	2017-07-04
2.2 Optimization\Learning to learn by gradient descent by gradient descent.pdf	2702892	2017-07-04
2.2 Optimization\On the importance of initialization and momentum in deep learning.pdf	538423	2017-07-04
2.2 Optimization\SqueezeNet_ AlexNet-level accuracy with 50x fewer parameters and_ 1MB model size.pdf	924939	2017-07-04
2.3 Unsupervised Learning Deep Generative Model	0	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Auto-Encoding Variational Bayes.pdf	3926653	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Building High-level Features.pdf	3065604	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Conditional Image Generation with.pdf	3801322	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\DRAW_ A Recurrent Neural Network For Image Generation.pdf	1783902	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Generative Adversarial Nets.pdf	539761	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Pixel Recurrent Neural Networks.pdf	3015028	2017-07-04
2.3 Unsupervised Learning Deep Generative Model\Unsupervised representation learning with deep convolutional generative adversarial networks.pdf	7457198	2017-07-04
2.4 RNN Sequence-to-Sequence Model	0	2017-07-04
2.4 RNN Sequence-to-Sequence Model\A Neural Conversational Model.pdf	89422	2017-07-04
2.4 RNN Sequence-to-Sequence Model\Generating Sequences With.pdf	3506302	2017-07-04
2.4 RNN Sequence-to-Sequence Model\Learning Phrase Representations using RNN Encoder–Decoder.pdf	1142296	2017-07-04
2.4 RNN Sequence-to-Sequence Model\NEURAL MACHINE TRANSLATION.pdf	444482	2017-07-04

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