Python v0.3.0.dev+c1b8f91
  • Overview

    • LeakyReLU

    class dragon.vm.tensorflow.keras.layers.LeakyReLU(
      alpha=0.3,
      **kwargs
    )[source]

    The layer to apply the leaky rectified linear unit. [Clevert et.al, 2015].

    The LeakyReLU function is defined as:

    \[\text{LeakyReLU}(x) = \begin{cases} x, & \text{ if } x \geq 0 \\ \alpha * x, & \text{ otherwise } \end{cases} \]

    Examples:

    x = tf.constant([-1, 0, 1], 'float32')
print(tf.keras.layers.LeakyReLU(inplace=False)(x))

    __init__

    LeakyReLU.__init__(
      alpha=0.3,
      **kwargs
    )[source]

    Create a LeakyReLU layer.

    Parameters:
    • alpha (float, optional, default=0.3) – The value of \(\alpha\).