Usefulmaterial.txt

LSTM for time-series (sequence) problem:
Recurrent Neural Networks Tutorial
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/

Understanding LSTM Networks
http://colah.github.io/posts/2015-08-Understanding-LSTMs/

The Unreasonable Effectiveness of Recurrent Neural Networks
http://karpathy.github.io/2015/05/21/rnn-effectiveness/

LSTM (Long Short Term Memory)
http://christianherta.de/lehre/dataScience/machineLearning/neuralNetworks/LSTM.php

Simple LSTM
http://nicodjimenez.github.io/2014/08/08/lstm.html





Books about deep learning:
Neural Networks and Deep Learning:
http://neuralnetworksanddeeplearning.com/

Deep Learning:
http://www.deeplearningbook.org/




Course with videos:
CS231n: Convolutional Neural Networks for Visual Recognition
http://cs231n.stanford.edu/

Machine Learning: 2014-2015 (Deep Learning)
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/






Convolutional Neural Network (CNN):
Visualizing CNN architectures side by side with mxnet
http://josephpcohen.com/w/visualizing-cnn-architectures-side-by-side-with-mxnet/

Residual Networks <2015 ICCV, ImageNet 图像分类Top1>
http://blog.csdn.net/abcjennifer/article/details/50514124