Deep Learning, Autoencoder, Python Programming, Keras, Technology.
data_noisy[:,1] data_pure = np.load('./signal_waves_medium.npy') x_val_pure, y_val_pure = data_pure[:,0], data_pure[:,1] # Reshape data y_val_noisy_r = [] y_val_pure_r = [] for i in range(0, len(y_val_noisy)): noisy_sample = y_val_noisy[i] pure_sample = y_val_pure[i] noisy_sample = (noisy_sample -