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