org.deeplearning4j.nn.multilayer

Class BackPropMLPTest

java.lang.Object

org.deeplearning4j.nn.multilayer.BackPropMLPTest

public class BackPropMLPTest
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
BackPropMLPTest()

Method Summary

Modifier and Type	Method and Description
static float[]	asFloat(org.nd4j.linalg.api.ndarray.INDArray arr)
static float	derivOfSigmoid(float in)
static float[]	derivOfSigmoid(float[] in)
static org.nd4j.linalg.api.ndarray.INDArray	doSigmoid(org.nd4j.linalg.api.ndarray.INDArray input)
static org.nd4j.linalg.api.ndarray.INDArray	doSigmoidDerivative(org.nd4j.linalg.api.ndarray.INDArray input)
static org.nd4j.linalg.api.ndarray.INDArray	doSoftmax(org.nd4j.linalg.api.ndarray.INDArray input)
static org.nd4j.linalg.api.ndarray.INDArray	doTanh(org.nd4j.linalg.api.ndarray.INDArray input)
static org.nd4j.linalg.api.ndarray.INDArray	doTanhDerivative(org.nd4j.linalg.api.ndarray.INDArray input)
static float	dotProduct(float[] x, float[] y)
static float	sigmoid(float in)
static float[]	sigmoid(float[] in)
static float[]	softmax(float[] in)
void	testMLP()
void	testMLP2()
void	testMLPGradientCalculation()
void	testMLPTrivial()
void	testSingleExampleWeightUpdates()
static float[]	vectorDifference(float[] x, float[] y)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BackPropMLPTest

public BackPropMLPTest()

Method Detail

testMLPTrivial

public void testMLPTrivial()

testMLP

public void testMLP()

testMLP2

public void testMLP2()

testSingleExampleWeightUpdates

public void testSingleExampleWeightUpdates()

testMLPGradientCalculation

public void testMLPGradientCalculation()

asFloat

public static float[] asFloat(org.nd4j.linalg.api.ndarray.INDArray arr)

dotProduct

public static float dotProduct(float[] x,
                               float[] y)

sigmoid

public static float sigmoid(float in)

sigmoid

public static float[] sigmoid(float[] in)

derivOfSigmoid

public static float derivOfSigmoid(float in)

derivOfSigmoid

public static float[] derivOfSigmoid(float[] in)

softmax

public static float[] softmax(float[] in)

vectorDifference

public static float[] vectorDifference(float[] x,
                                       float[] y)

doTanh

public static org.nd4j.linalg.api.ndarray.INDArray doTanh(org.nd4j.linalg.api.ndarray.INDArray input)

doTanhDerivative

public static org.nd4j.linalg.api.ndarray.INDArray doTanhDerivative(org.nd4j.linalg.api.ndarray.INDArray input)

doSoftmax

public static org.nd4j.linalg.api.ndarray.INDArray doSoftmax(org.nd4j.linalg.api.ndarray.INDArray input)

doSigmoid

public static org.nd4j.linalg.api.ndarray.INDArray doSigmoid(org.nd4j.linalg.api.ndarray.INDArray input)

doSigmoidDerivative

public static org.nd4j.linalg.api.ndarray.INDArray doSigmoidDerivative(org.nd4j.linalg.api.ndarray.INDArray input)