Deep Learning, Autoencoder, Python Programming, Keras, Technology.
Generate samples for j in range(0, num_samples): # Report progress if j % 100 == 0: print(j) # Generate wave for i in range(starting_point, total_num_elements): x_val = i * interval_per_element y_val = x_val * x_val xs.append(x_val) ys.append(y_val) # Append wave to samples samples.append((xs, ys))