Deep Learning, Neural Networks, Adversarial Network, Tinder, Social Media.
various quality improving arguments, and save the image for use: for i in range(1,20): rnd = np.random.RandomState(5) latents = rnd.randn(i, Gs.input_shape[1]) # Generate image. fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True) images = Gs.run(latents, None, truncation_psi=0.7,