if iterator%1000 == 0:
        white_img = np.zeros([75,75,3])
        white_img.fill(255)
        white_img = np.expand_dims(white_img, axis=0)
        white_img += gradients * learning_rate

        min_pixel_white = white_img.reshape((white_img.shape[1]*white_img.shape[2], 3)).min(axis=0).min()
        max_pixel_white = white_img.reshape((white_img.shape[1]*white_img.shape[2], 3)).max(axis=0).max()
        original_white = white_img[0]
        original_white = (original_white - min_pixel_white) * (255/(max_pixel_white - min_pixel_white))
        im = Image.fromarray(original_white.astype(np.uint8))
        im = im.convert('LA')
        im.save("original_white"+str(iterator)+".png")