Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
plt.title(str(round(disc_score, 3))) plot_image(obj_plot[b]) if obj_plot is imgs_fake: plt.savefig(os.path.join(folder, str(total_it).zfill(10) + '.jpg'), format='jpg', bbox_inches='tight') plt.show() # Update generator. loss = 0 y = np.ones([BATCH_SIZE, 1]) for j in range(GEN_UPDATES): noise =