LeakyReLU layer
LeakyReLU class
tf_keras.layers.LeakyReLU(alpha=0.3, **kwargs)
Leaky version of a Rectified Linear Unit.
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. Defaults to0.3.