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ActivationFunction.java
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149 lines (126 loc) · 3.63 KB
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/*
* MIT License
*
* Copyright (c) 2019 Sebastian Gössl
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
package neuralnetwork;
import java.util.function.DoubleUnaryOperator;
/**
* Common activation functions & their derivatives used in neural networks.
*
* @author Sebastian Gössl
* @version 1.2 13.9.2019
*/
public enum ActivationFunction {
/**
* Enums.
*/
IDENTITY, TANH, SIGMOID, RELU, SOFTPLUS, RELU_LEAKY;
/**
* Leaky ReLU leakage.
*/
private static final double RELU_LEAKY_LEAKAGE = 0.01;
/**
* Functions.
*/
private static DoubleUnaryOperator[] foos = new DoubleUnaryOperator[] {
//Identity
(x) -> x,
//Tanh
(x) -> Math.tanh(x),
//Sigmoid
(x) -> 1 / (1 + Math.exp(-x)),
//ReLU
(x) -> {
if(x >= 0) {
return x;
} else {
return 0;
}},
//SoftPlus
(x) -> Math.log(1 + Math.exp(x)),
//Leaky ReLU
(x) -> {
if(x >= 0) {
return x;
} else {
return RELU_LEAKY_LEAKAGE * x;
}}
};
/**
* Derivatives.
*/
private static DoubleUnaryOperator[] primes = new DoubleUnaryOperator[] {
//Identity
(x) -> 1,
//Tanh
(x) -> 1 - Math.tanh(x) * Math.tanh(x),
//Sigmoid
(x) -> Math.exp(-x) / ((1 + Math.exp(-x)) * (1 + Math.exp(-x))),
//ReLU
(x) -> {
if(x >= 0) {
return 1;
} else {
return 0;
}},
//Softplus
(x) -> 1 / (1 + Math.exp(-x)),
//Leaky ReLU
(x) -> {
if(x >= 0) {
return 1;
} else {
return RELU_LEAKY_LEAKAGE;
}}
};
/**
* Names.
*/
private static final String[] names = {
"Identity",
"Hyperbolic tangent",
"Sigmoid",
"Rectified linear unit",
"SoftPlus",
"Leaky rectified linear unit"
};
/**
* Returns the function as DoubleUnaryOperator.
*
* @return function as DoubleUnaryOperator
*/
public DoubleUnaryOperator get() {
return foos[ordinal()];
}
/**
* Returns the derivative as DoubleUnaryOperator.
*
* @return derivative as DoubleUnaryOperator
*/
public DoubleUnaryOperator getPrime() {
return primes[ordinal()];
}
@Override
public String toString() {
return names[ordinal()];
}
}