deep learning学习资源汇总

【deep learning】学习资源汇总

deep learning学习资源汇总

Ngs deep learning tutorial

Neural Networks and Deep Learning

Courser公开课Neural Networks for Machine Learning

Convolutional Neural Networks

Recurrent Neural NetworksRNN 在NLP上的应用

Graduate Summer School Deep Learning Feature Learning

深度学习书籍推荐

Awesome Recurrent Neural Networks

Awesome Deep Vision

深度学习框架汇总

TensorFlow 官方文档中文版

Deep learning for complete beginners

Ng’s deep learning tutorial

该tutorial是学习机器学习和深度学习最先入门推荐的资料

层次：入门层次

入门指数：五颗星

Ng’s deep learning tutorial

Neural Networks and Deep Learning

此书非常适合入门，建议入门必读，从入门者的角度，讲得非常细致，看完之后会深入地理解原理性的知识。

层次：入门层次

入门指数：五颗星

Neural Networks and Deep Learning is a free online book. The book will teach you about:

Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data. Deep learning, a powerful set of techniques for learning in neural networks.

http://neuralnetworksanddeeplearning.com/

Courser公开课Neural Networks for Machine Learning

Courser公开课Neural Networks for Machine Learning

Convolutional Neural Networks

学习卷积神经网络强力推荐。

层次：入门层次

入门指数：五颗星

华人教授Li Feifei的课程CS231n: Convolutional Neural Networks for Visual Recognition

Recurrent Neural Networks(RNN) 在NLP上的应用

斯坦福大学的NLP学习资料，基于LSTM等。

CS224d: Deep Learning for Natural Language Processing .

Graduate Summer School: Deep Learning, Feature Learning

这个课程是各种大牛讲课， 比如大名鼎鼎的Yoshua Bengio (University of Montreal), Geoffrey Hinton (University of Toronto), Yann LeCun (New York University) 等等。

Graduate Summer School: Deep Learning, Feature Learning

深度学习书籍推荐

目前（2016）深度学习的著作也出来了，好几本，列在下面：

Deng and Yu, Microsoft,下载

Yoshua Bengio et al, Deep Learning Book

其他阅读资料列表Reading List

Awesome Recurrent Neural Networks

很好的资料总结，汇集了Recurrent Neural Networks目前的资料

Awesome Recurrent Neural Networks

Awesome Deep Vision

很好的资料总结，汇集了很多最新的基于深度学习的视觉相关领域的文章整理

Awesome Deep Vision

深度学习框架汇总

深度学习的框架有很多，下面这个资源将其汇总了。

Software links

TensorFlow 官方文档中文版

TensorFlow 官方文档中文版

Deep learning for complete beginners

剑桥大学针对初学者的教程，使用的是keras框架

Deep learning for complete beginners: Recognising handwritten digits

Deep learning for complete beginners: Using convolutional nets to recognise images

Deep learning for complete beginners: neural network fine-tuning techniques