HardSigmoid

public class HardSigmoid

Hard sigmoid activation.

A faster approximation of the sigmoid activation.

Defined as:

• if x < -2.5: return 0
• if x > 2.5: return 1
• if -2.5 <= x <= 2.5: return 0.2 * x + 0.5

For example:

     Operand<TFloat32> input = tf.constant(
              new float[] {-3.0f,-1.0f, 0.0f,1.0f,3.0f});
     HardSigmoid<TFloat32> hardSigmoid = new HardSigmoid<>(tf);
     Operand<TFloat32> result = hardSigmoid.call(input);
     // result is [0.f , 0.3f, 0.5f, 0.7f, 1.f]
 

Public Constructors

HardSigmoid(Ops tf) Creates Hard sigmoid activation.

Public Methods

Operand<T>

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

Inherited Methods

From class org.tensorflow.framework.activations.Activation

abstract Operand<T>

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

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Public Constructors

public HardSigmoid (Ops tf)

Creates Hard sigmoid activation.

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