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TensorFlow 1 version View source on GitHub

Class LeakyReLU

Leaky version of a Rectified Linear Unit.

Inherits From: Layer


  • Class tf.compat.v1.keras.layers.LeakyReLU
  • Class tf.compat.v2.keras.layers.LeakyReLU

Used in the tutorials:

It allows a small gradient when the unit is not active: f(x) = alpha * x for x < 0, f(x) = x for x >= 0.

Input shape:

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

Output shape:

Same shape as the input.


  • alpha: Float >= 0. Negative slope coefficient.


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