Swish

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public class Swish

Swish activation function. swish(x) = x * sigmoid(x).

Swish activation function which returns x*sigmoid(x). It is a smooth, non-monotonic function that consistently matches or outperforms ReLU on deep networks, it is unbounded above and bounded below.

Example Usage:

     Operand<TFloat32> input = tf.constant(new float[]
                                        {-20, -1.0, 0.0, 1.0, 20});
     Swish<TFloat32> swish = new Swish<>(tf);
     Operand<TFloat32> result = swish.call(input);
     // result = [-4.1223075e-08f, -2.6894143e-01f,  0.0000000e+00f,
     //          7.3105860e-01f,  2.0000000e+01f ]

 

Public Constructors

Swish(Ops tf)
Creates a Swish activation, swish(x) = x * sigmoid(x).

Public Methods

Operand<T>
call(Operand<T> input)
Gets the calculation operation for the activation.

Inherited Methods

Public Constructors

public Swish (Ops tf)

Creates a Swish activation, swish(x) = x * sigmoid(x).

Swish activation function which returns x*sigmoid(x). It is a smooth, non-monotonic function that consistently matches or outperforms ReLU on deep networks, it is unbounded above and bounded below.

Parameters
tf the TensorFlow Ops

Public Methods

public Operand<T> call (Operand<T> input)

Gets the calculation operation for the activation.

Parameters
input the input tensor
Returns
  • The operand for the activation