Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
z_mean, z_log_sigma = args epsilon = K.random_normal(shape = (n_size,) , mean = 0, stddev = 1) return z_mean + K.exp(z_log_sigma/2) * epsilon def build_conv_vae(input_shape, bottleneck_size, sampling, batch_size = 32): # ENCODER input = Input(shape=(input_shape[0],input_shape[1],input_shape[2])) x