jar

com.deepnetts : deepnetts-core

Maven & Gradle

Dec 01, 2021
1 usages
49 stars

com.deepnetts:deepnetts-core · Deep Learning Engine in pure Java. Base for reference implementation of JSR381

Table Of Contents

Latest Version

Download com.deepnetts : deepnetts-core JAR file - Latest Versions:

All Versions

Download com.deepnetts : deepnetts-core JAR file - All Versions:

Version Vulnerabilities Size Updated
1.13.x
1.12
1.11
1.1

View Java Class Source Code in JAR file

  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window deepnetts-core-1.13.2.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

deepnetts.net.weights

├─ deepnetts.net.weights.RandomWeights.class - [JAR]

├─ deepnetts.net.weights.RandomWeightsType.class - [JAR]

deepnetts.net.loss

├─ deepnetts.net.loss.BinaryCrossEntropyLoss.class - [JAR]

├─ deepnetts.net.loss.CrossEntropyLoss.class - [JAR]

├─ deepnetts.net.loss.LossFunction.class - [JAR]

├─ deepnetts.net.loss.LossType.class - [JAR]

├─ deepnetts.net.loss.MeanSquaredErrorLoss.class - [JAR]

deepnetts.net.train.opt

├─ deepnetts.net.train.opt.MomentumOptimizer.class - [JAR]

├─ deepnetts.net.train.opt.Optimizer.class - [JAR]

├─ deepnetts.net.train.opt.OptimizerType.class - [JAR]

├─ deepnetts.net.train.opt.SgdOptimizer.class - [JAR]

deepnetts.core

├─ deepnetts.core.DeepNetts.class - [JAR]

deepnetts.eval

├─ deepnetts.eval.ClassificationMetrics.class - [JAR]

├─ deepnetts.eval.ClassifierEvaluator.class - [JAR]

├─ deepnetts.eval.ConfusionMatrix.class - [JAR]

├─ deepnetts.eval.Evaluators.class - [JAR]

├─ deepnetts.eval.MeanSquaredError.class - [JAR]

├─ deepnetts.eval.RegresionEvaluator.class - [JAR]

├─ deepnetts.eval.RootMeanSquaredError.class - [JAR]

deepnetts.net

├─ deepnetts.net.ConvolutionalNetwork.class - [JAR]

├─ deepnetts.net.FeedForwardNetwork.class - [JAR]

├─ deepnetts.net.NetworkType.class - [JAR]

├─ deepnetts.net.NeuralNetwork.class - [JAR]

deepnetts.net.layers

├─ deepnetts.net.layers.AbstractLayer.class - [JAR]

├─ deepnetts.net.layers.ConvolutionalLayer.class - [JAR]

├─ deepnetts.net.layers.FullyConnectedLayer.class - [JAR]

├─ deepnetts.net.layers.InputLayer.class - [JAR]

├─ deepnetts.net.layers.Layer.class - [JAR]

├─ deepnetts.net.layers.LayerType.class - [JAR]

├─ deepnetts.net.layers.MaxPoolingLayer.class - [JAR]

├─ deepnetts.net.layers.OutputLayer.class - [JAR]

├─ deepnetts.net.layers.SoftmaxOutputLayer.class - [JAR]

deepnetts.android

├─ deepnetts.android.LoggerContextFactory_Dummy.class - [JAR]

├─ deepnetts.android.LoggerContext_Dummy.class - [JAR]

deepnetts.net.train

├─ deepnetts.net.train.BackpropagationTrainer.class - [JAR]

├─ deepnetts.net.train.KFoldCrossValidation.class - [JAR]

├─ deepnetts.net.train.Trainer.class - [JAR]

├─ deepnetts.net.train.TrainerProvider.class - [JAR]

├─ deepnetts.net.train.TrainingEvent.class - [JAR]

├─ deepnetts.net.train.TrainingListener.class - [JAR]

deepnetts.net.layers.activation

├─ deepnetts.net.layers.activation.ActivationFunction.class - [JAR]

├─ deepnetts.net.layers.activation.ActivationType.class - [JAR]

├─ deepnetts.net.layers.activation.Linear.class - [JAR]

├─ deepnetts.net.layers.activation.Relu.class - [JAR]

├─ deepnetts.net.layers.activation.Sigmoid.class - [JAR]

├─ deepnetts.net.layers.activation.Tanh.class - [JAR]

deepnetts.data.preprocessing.scale

├─ deepnetts.data.preprocessing.scale.DecimalScaler.class - [JAR]

├─ deepnetts.data.preprocessing.scale.MaxScaler.class - [JAR]

├─ deepnetts.data.preprocessing.scale.MinMaxScaler.class - [JAR]

├─ deepnetts.data.preprocessing.scale.RangeScaler.class - [JAR]

├─ deepnetts.data.preprocessing.scale.Standardizer.class - [JAR]

deepnetts.data

├─ deepnetts.data.DataSetStats.class - [JAR]

├─ deepnetts.data.DataSets.class - [JAR]

├─ deepnetts.data.ExampleImage.class - [JAR]

├─ deepnetts.data.ImageSet.class - [JAR]

├─ deepnetts.data.MLDataItem.class - [JAR]

├─ deepnetts.data.TabularDataSet.class - [JAR]

deepnetts.util

├─ deepnetts.util.BoundingBox.class - [JAR]

├─ deepnetts.util.CenterOnWhiteBackground.class - [JAR]

├─ deepnetts.util.ColumnType.class - [JAR]

├─ deepnetts.util.CreateImageIndex.class - [JAR]

├─ deepnetts.util.CreateLabelsIndex.class - [JAR]

├─ deepnetts.util.CsvFormat.class - [JAR]

├─ deepnetts.util.DeepNettsException.class - [JAR]

├─ deepnetts.util.FileIO.class - [JAR]

├─ deepnetts.util.GenerateRandomNegative.class - [JAR]

├─ deepnetts.util.ImageSetUtils.class - [JAR]

├─ deepnetts.util.ImageUtils.class - [JAR]

├─ deepnetts.util.ObjectsOnBackgrounds.class - [JAR]

├─ deepnetts.util.RandomGenerator.class - [JAR]

├─ deepnetts.util.RandomlyTranslateImages.class - [JAR]

├─ deepnetts.util.ScaleImages.class - [JAR]

├─ deepnetts.util.Serialization.class - [JAR]

├─ deepnetts.util.Tensor.class - [JAR]

├─ deepnetts.util.Tensors.class - [JAR]

├─ deepnetts.util.TypedProperties.class - [JAR]

Advertisement