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文件名称:Deep Learning Papers Reading Roadmap

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这是一些关于深度学习的一些入门资料，希望对初学者有帮助！(These are some basic materials about deep learning, hope helpful to these beginners!)
相关搜索： deep learning

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
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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