def l2_normalize(x, axis):
    if axis < 0:
        axis = axis % len(x.get_shape())
    return tf.nn.l2_normalize(x, dim=axis)


# CONVOLUTIONS
Enables CDN access for this container, and optionally sets the TTL.
dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py/l2_normalize--crossover with--dataset/ETHPy150Open rackspace/pyrax/pyrax/object_storage.py/Container.make_public