Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
neural-network
mse
batch-normalization
convolutional-layers
regularization
convolutional-neural-networks
gradient-descent
affine-layer
adagrad
rmsprop
xavier-initializer
adam-optimizer
softmax-layer
relu-layer
padding-layer
loss-layers
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Updated
Oct 27, 2017 - Python