Neural Network and Deep Learning
Neural Network and Deep Learning
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(2):Sparse Interactions, Receptive Field and Parameter Sharing
CNN(3):Convolution and Channels
CNN(4):Feature map size, Padding and Stride
Parameter Initializations in Deep Learning
Feedforward Neural Network and BackPropagation Algorithm
Gradient Vanishing Problem in Deep Learning