Deep Learning, Autoencoder, Python Programming, Keras, Technology.
Input shape print(np.shape(np.array(samples[0][0]))) # Save data to file for re-use np.save('./signal_waves_medium.npy', samples) # Visualize a few random samples for i in range(0, num_samples_visualize): random_index = np.random.randint(0, len(samples)-1) x_axis, y_axis = samples[random_index]