TensorFlow 2 version
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View source on GitHub
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Thresholded Rectified Linear Unit.
Inherits From: Layer
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.
Arguments | |
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theta
|
Float >= 0. Threshold location of activation. |