Uses of Class
org.deeplearning4j.nn.multilayer.MultiLayerNetwork

Packages that use MultiLayerNetwork

Package	Description
org.deeplearning4j.earlystopping.saver
org.deeplearning4j.earlystopping.scorecalc
org.deeplearning4j.earlystopping.trainer
org.deeplearning4j.eval
org.deeplearning4j.gradientcheck
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.updater
org.deeplearning4j.util

Uses of MultiLayerNetwork in org.deeplearning4j.earlystopping.saver

Methods in org.deeplearning4j.earlystopping.saver that return MultiLayerNetwork

Modifier and Type	Method and Description
MultiLayerNetwork	LocalFileModelSaver.getBestModel()
MultiLayerNetwork	LocalFileModelSaver.getLatestModel()

Methods in org.deeplearning4j.earlystopping.saver with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
void	LocalFileModelSaver.saveBestModel(MultiLayerNetwork net, double score)
void	LocalFileModelSaver.saveLatestModel(MultiLayerNetwork net, double score)

Uses of MultiLayerNetwork in org.deeplearning4j.earlystopping.scorecalc

Methods in org.deeplearning4j.earlystopping.scorecalc with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
double	DataSetLossCalculator.calculateScore(MultiLayerNetwork network)

Uses of MultiLayerNetwork in org.deeplearning4j.earlystopping.trainer

Constructors in org.deeplearning4j.earlystopping.trainer with parameters of type MultiLayerNetwork

Constructor and Description
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train)
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train, EarlyStoppingListener<MultiLayerNetwork> listener)

Constructor parameters in org.deeplearning4j.earlystopping.trainer with type arguments of type MultiLayerNetwork

Constructor and Description
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> earlyStoppingConfiguration, MultiLayerConfiguration configuration, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train)
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train)
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train, EarlyStoppingListener<MultiLayerNetwork> listener)
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork> esConfig, MultiLayerNetwork net, org.nd4j.linalg.dataset.api.iterator.DataSetIterator train, EarlyStoppingListener<MultiLayerNetwork> listener)

Uses of MultiLayerNetwork in org.deeplearning4j.eval

Methods in org.deeplearning4j.eval with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
void	Evaluation.eval(org.nd4j.linalg.api.ndarray.INDArray trueLabels, org.nd4j.linalg.api.ndarray.INDArray input, MultiLayerNetwork network) Evaluate the output using the given true labels, the input to the multi layer network and the multi layer network to use for evaluation

Uses of MultiLayerNetwork in org.deeplearning4j.gradientcheck

Methods in org.deeplearning4j.gradientcheck with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
static boolean	GradientCheckUtil.checkGradients(MultiLayerNetwork mln, double epsilon, double maxRelError, double minAbsoluteError, boolean print, boolean exitOnFirstError, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray labels) Check backprop gradients for a MultiLayerNetwork.

Uses of MultiLayerNetwork in org.deeplearning4j.nn.multilayer

Methods in org.deeplearning4j.nn.multilayer that return MultiLayerNetwork

Modifier and Type	Method and Description
MultiLayerNetwork	MultiLayerNetwork.clone()

Methods in org.deeplearning4j.nn.multilayer with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
void	MultiLayerNetwork.merge(MultiLayerNetwork network, int batchSize) Merges this network with the other one.
void	MultiLayerNetwork.update(MultiLayerNetwork network) Assigns the parameters of this model to the ones specified by this network.

Uses of MultiLayerNetwork in org.deeplearning4j.nn.updater

Constructors in org.deeplearning4j.nn.updater with parameters of type MultiLayerNetwork

Constructor and Description
MultiLayerUpdater(MultiLayerNetwork network)
MultiLayerUpdater(MultiLayerNetwork network, org.nd4j.linalg.api.ndarray.INDArray updaterState)

Uses of MultiLayerNetwork in org.deeplearning4j.util

Methods in org.deeplearning4j.util that return MultiLayerNetwork

Modifier and Type	Method and Description
static MultiLayerNetwork	NetSaverLoaderUtils.loadNetworkAndParameters(String confPath, String paramPath) Load existing model configuration and parameters
static MultiLayerNetwork	NetSaverLoaderUtils.loadParameters(MultiLayerNetwork net, int[] layerIds, Map<Integer,String> paramPaths) Load existing parameters for the network
static MultiLayerNetwork	NetSaverLoaderUtils.loadParameters(MultiLayerNetwork net, String[] layerIds, Map<String,String> paramPaths) Load existing parameters for the network
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(File file) Load a multi layer network from a file
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(File file, boolean loadUpdater) Load a multi layer network from a file
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(InputStream is)
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(InputStream is, boolean loadUpdater) Load a MultiLayerNetwork from InputStream from a file
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(String path) Load a MultilayerNetwork model from a file
static MultiLayerNetwork	ModelSerializer.restoreMultiLayerNetwork(String path, boolean loadUpdater) Load a MultilayerNetwork model from a file

Methods in org.deeplearning4j.util with parameters of type MultiLayerNetwork

Modifier and Type	Method and Description
static MultiLayerNetwork	NetSaverLoaderUtils.loadParameters(MultiLayerNetwork net, int[] layerIds, Map<Integer,String> paramPaths) Load existing parameters for the network
static MultiLayerNetwork	NetSaverLoaderUtils.loadParameters(MultiLayerNetwork net, String[] layerIds, Map<String,String> paramPaths) Load existing parameters for the network
static void	NetSaverLoaderUtils.saveNetworkAndParameters(MultiLayerNetwork net, String basePath) Save model configuration and parameters
static void	NetSaverLoaderUtils.saveParameters(MultiLayerNetwork net, int[] layerIds, Map<Integer,String> paramPaths) Save existing parameters for the network
static void	NetSaverLoaderUtils.saveParameters(MultiLayerNetwork net, String[] layerIds, Map<String,String> paramPaths) Save existing parameters for the network
static void	NetSaverLoaderUtils.saveUpdators(MultiLayerNetwork net, String basePath) Save model updators
static List<org.nd4j.linalg.api.ndarray.INDArray>	MultiLayerUtil.weightMatrices(MultiLayerNetwork network) Return the weight matrices for a multi layer network