Filename
Size
Date
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