CS224d: Deep Learning for Natural Language Processing
Learning Task-Dependent Distributed Representations by Back Propagation Through Structure
Parsing Natural Scenes and Natural Language with Recursive Neural Networks
CS224d: Deep Learning for Natural Language Processing
Understanding LSTM Networks
LSTM Forward and Backward Pass
CS231n Convolutional Neural Networks for Visual Recognition
ReLu (Rectified Linear Units) 激活函数
Jake Bouvrie, Notes on Convolutional Neural Networks, 2006
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016
RECURRENT NEURAL NETWORKS TUTORIAL
Understanding LSTM Networks
The Unreasonable Effectiveness of Recurrent Neural Networks
Attention and Augmented Recurrent Neural Networks
On the difficulty of training recurrent neural networks, Bengio et al.
Recurrent neural network based language model, Mikolov et al.
Neural Network Classification, Categorical Data, Softmax Activation, and Cross Entropy Error, McCaffrey