|  TensorFlow 1 version |  View source on GitHub | 
Thresholded Rectified Linear Unit.
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.
| Args | |
|---|---|
| theta | Float >= 0. Threshold location of activation. |