文件名称:Deep Learning Papers Reading Roadmap
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- 上传时间：
- 2018-01-31
- 文件大小：
- 42.46mb
- 下载次数：
- 0次
- 提 供 者：
- 北斗星闪****
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- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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!)
(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 |