def train():
image_paths = [
os.path.join('emoji', name) for name in os.listdir('emoji')
if name.endswith('.png')
]
images = np.array([load_image(path, 64) for path in image_paths])
train_batcher = batch_generator(images, images, size=20, random=True)
test_batcher = batch_generator(images, images, size=40, random=True)
n.training_loop(train_batcher, test_batcher)
def train():
test_in, test_out = load_dataset('t10k', noise=True)
train_in, train_out = load_dataset('train', noise=True)
train_batcher = batch_generator(train_in, train_in, size=64, random=True)
test_batcher = batch_generator(test_in, test_in, size=128, random=True)
n.training_loop(train_batcher, test_batcher, evaluation_interval=10)