Neural Network and Deep Learning

Neural Network and Deep Learning

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Neural Network and Deep Learning

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Tensorflow(1):num_units in BasicLSTMCell

RNN(1): Architecture of Naive RNN

RNN(2): BPTT and Long-term Dependencies

RNN(3): LSTM and the Movie <Inside Out>

CNN(1): Architecture

CNN(2):Sparse Interactions, Receptive Field and Parameter Sharing

CNN(3):Convolution and Channels

CNN(4):Feature map size, Padding and Stride

CNN(5):Pooling Layer

Parameter Initializations in Deep Learning

Feedforward Neural Network and BackPropagation Algorithm

Gradient Vanishing Problem in Deep Learning

L2 Regularization for Neural Networks

Autoencoder 

Cross-entropy Cost Function

Activation Functions and Their Derivatives