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Leaky version of a Rectified Linear Unit activation function.
tf.keras.ops.leaky_relu(
x, negative_slope=0.2
)
It allows a small gradient when the unit is not active, it is defined as:
f(x) = alpha * x for x < 0 or f(x) = x for x >= 0.
Args | |
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x
|
Input tensor. |
negative_slope
|
Slope of the activation function at x < 0.
Defaults to 0.2.
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Returns | |
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A tensor with the same shape as x.
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Example:
x = np.array([-1., 0., 1.])x_leaky_relu = keras.ops.leaky_relu(x)print(x_leaky_relu)array([-0.2, 0. , 1. ], shape=(3,), dtype=float64)