Deep Learning, Autoencoder, Python Programming, Keras, Technology.
xs.append(x_val) ys.append(y_val) # Append wave to samples samples.append((xs, ys)) # Clear subsample containers for next sample xs = [] ys = [] # 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