Deep Learning, Autoencoder, Python Programming, Keras, Technology.
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] plt.plot(x_axis, y_axis) plt.title(f'Visualization of sample {random_index} ---- y: f(x) = x^2') plt.show() Adding noise to pure waveforms The second