tf.keras.layers.ThresholdedReLU

TensorFlow 2 version View source on GitHub

Thresholded Rectified Linear Unit.

Inherits From: Layer

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.ThresholdedReLU, `tf.compat.v2.keras.layers.ThresholdedReLU`

 
tf.keras.layers.ThresholdedReLU(
    theta=1.0, **kwargs
)

It follows:

f(x) = x for x > theta, f(x) = 0 otherwise.

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.

theta Float >= 0. Threshold location of activation.