Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
x_train.shape[1] original_dim = image_size * image_size x_train = np.reshape(x_train, [-1, original_dim]) x_test = np.reshape(x_test, [-1, original_dim]) x_train = x_train.astype('float32') / 255 x_test = x_test.astype('float32') / 255 # VAE parameters input_shape = (original_dim, )