Deep Learning, Autoencoder, Python Programming, Keras, Technology.
noisy_samples[random_index] plt.plot(x_axis, y_axis) plt.title(f'Visualization of noisy sample {random_index} ---- y: f(x) = x^2') plt.show() If you would now run signal_apply_noise.py, you'd get 100k noisy samples, with which we can train the autoencoder we'll build next. Full noising code If