Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
activation='tanh')(model) latent = Lambda(sampling, output_shape=(latent_dim,))([mean, logsigma]) meansigma = Model([X], [mean, logsigma, latent]) meansigma.compile(optimizer=SGDop, loss='mse') return meansigma def decgen(kernel, filter, rows, columns, channel): X = Input(shape=(latent_dim,)) model