tf.keras.layers.ThresholdedReLU

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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:

• theta: Float >= 0. Threshold location of activation.