tf.keras.layers.LeakyReLU

TensorFlow 1 version View source on GitHub

Leaky version of a Rectified Linear Unit.

Inherits From: Layer

tf.keras.layers.LeakyReLU(
    alpha=0.3, **kwargs
)

Used in the notebooks

Used in the tutorials

It allows a small gradient when the unit is not active:

  f(x) = alpha * x if x < 0
  f(x) = x if x >= 0

Usage:

layer = tf.keras.layers.LeakyReLU() 
output = layer([-3.0, -1.0, 0.0, 2.0]) 
list(output.numpy()) 
[-0.9, -0.3, 0.0, 2.0] 
layer = tf.keras.layers.LeakyReLU(alpha=0.1) 
output = layer([-3.0, -1.0, 0.0, 2.0]) 
list(output.numpy()) 
[-0.3, -0.1, 0.0, 2.0] 

Input shape:

Arbitrary. Use the keyword argument input_shape (tuple of integers, does not include the batch axis) when using this layer as the first layer in a model.

Output shape:

Same shape as the input.

Arguments:

  • alpha: Float >= 0. Negative slope coefficient. Default to 0.3.