org.deeplearning4j.nn.multilayer

Class MultiLayerTest

java.lang.Object

org.deeplearning4j.nn.multilayer.MultiLayerTest

public class MultiLayerTest
extends java.lang.Object

Created by agibsonccc on 12/27/14.

Constructor Summary

Constructors

Constructor and Description
MultiLayerTest()

Method Summary

Modifier and Type	Method and Description
static float[]	asFloat(org.nd4j.linalg.api.ndarray.INDArray arr)
MultiLayerNetwork	getRBMModel(boolean preTrain, int nIn, int nOut)
void	testApplyingPreTrainConfigAndParams()
void	testBackProp()
void	testBackpropGradient()
void	testBatchNorm()
void	testBiasL1L2()
void	testCid()
void	testCnnInvalidData()
void	testDataSetScore()
void	testDataSetScoreCNN()
void	testDbn()
void	testFeedForwardToLayer()
void	testGradientUpdate()
void	testGradientWithAsList()
void	testIterationCountAndPersistence()
void	testLayerNames()
void	testLayerPreTrainSetFalseAfterPreTrain()
void	testOutput()
void	testPredict()
void	testScoreExamples()
void	testSelectedActivations() This test intended only to test activateSelectedLayers method, it does not involves fully-working AutoEncoder.
void	testSetParams()
void	testSummary()
void	testTranspose()

Methods inherited from class java.lang.Object

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

Constructor Detail

MultiLayerTest

public MultiLayerTest()

Method Detail

testSetParams

public void testSetParams()

testBatchNorm

public void testBatchNorm()

testBackProp

public void testBackProp()

testDbn

public void testDbn()
             throws java.lang.Exception

Throws:

java.lang.Exception

testGradientWithAsList

public void testGradientWithAsList()

testSelectedActivations

public void testSelectedActivations()

This test intended only to test activateSelectedLayers method, it does not involves fully-working AutoEncoder.

asFloat

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

testFeedForwardToLayer

public void testFeedForwardToLayer()

testBackpropGradient

public void testBackpropGradient()

testLayerNames

public void testLayerNames()

testTranspose

public void testTranspose()

testScoreExamples

public void testScoreExamples()

testDataSetScore

public void testDataSetScore()

testDataSetScoreCNN

public void testDataSetScoreCNN()

testPredict

public void testPredict()
                 throws java.lang.Exception

Throws:

java.lang.Exception

testCid

public void testCid()
             throws java.lang.Exception

Throws:

java.lang.Exception

testOutput

public void testOutput()
                throws java.lang.Exception

Throws:

java.lang.Exception

testGradientUpdate

public void testGradientUpdate()
                        throws java.lang.Exception

Throws:

java.lang.Exception

testCnnInvalidData

public void testCnnInvalidData()

testApplyingPreTrainConfigAndParams

public void testApplyingPreTrainConfigAndParams()

testLayerPreTrainSetFalseAfterPreTrain

public void testLayerPreTrainSetFalseAfterPreTrain()

getRBMModel

public MultiLayerNetwork getRBMModel(boolean preTrain,
                                     int nIn,
                                     int nOut)

testIterationCountAndPersistence

public void testIterationCountAndPersistence()
                                      throws java.io.IOException

Throws:

java.io.IOException

testBiasL1L2

public void testBiasL1L2()

testSummary

public void testSummary()