activations.py 文件源码

def crelu(x):
    """ CReLU

    Computes Concatenated ReLU.

    Concatenates a ReLU which selects only the positive part of the activation
    with a ReLU which selects only the negative part of the activation. Note
    that as a result this non-linearity doubles the depth of the activations.

    Arguments:
        x : A `Tensor` with type `float`, `double`, `int32`, `int64`, `uint8`,
            `int16`, or `int8`.

    Returns:
        A `Tensor` with the same type as `x`.

    Links:
        [https://arxiv.org/abs/1603.05201](https://arxiv.org/abs/1603.05201)

    """

    return tf.nn.crelu(x)