tf.nn.leaky_relu

tf.nn.leaky_relu(
    features,
    alpha=0.2,
    name=None
)

Defined in tensorflow/python/ops/nn_ops.py.

Compute the Leaky ReLU activation function.

"Rectifier Nonlinearities Improve Neural Network Acoustic Models" AL Maas, AY Hannun, AY Ng - Proc. ICML, 2013 https://ai.stanford.edu/~amaas/papers/relu_hybrid_icml2013_final.pdf

Args:

• features: A Tensor representing preactivation values. Must be one of the following types: float16, float32, float64, int32, int64.
• alpha: Slope of the activation function at x < 0.
• name: A name for the operation (optional).

Returns:

The activation value.