Hierarchy For All Packages

Package Hierarchies:

• deepnetts.automl,
• deepnetts.core,
• deepnetts.cudnn,
• deepnetts.data,
• deepnetts.data.norm,
• deepnetts.eval,
• deepnetts.net,
• deepnetts.net.layers,
• deepnetts.net.layers.activation,
• deepnetts.net.loss,
• deepnetts.net.train,
• deepnetts.net.train.opt,
• deepnetts.net.weights,
• deepnetts.tensor,
• deepnetts.util

Class Hierarchy

• java.lang.Object
  • deepnetts.cudnn.AbstractBackwardCuda (implements deepnetts.cudnn.BackwardAccelerator)
    • deepnetts.cudnn.FullyConnectedBackwardCuda
    • deepnetts.cudnn.SoftMaxBackwardCuda
  • deepnetts.cudnn.AbstractForwardCuda (implements deepnetts.cudnn.ForwardAccelerator)
    • deepnetts.cudnn.ConvolutionalForwardCuda
    • deepnetts.cudnn.FlattenForwardCuda
    • deepnetts.cudnn.FullyConnectedForwardCuda
    • deepnetts.cudnn.MaxPoolingForwardCuda
    • deepnetts.cudnn.SoftMaxForwardCuda
  • deepnetts.net.layers.AbstractLayer<I,O,W> (implements deepnetts.net.layers.Layer<O>, java.io.Serializable)
    • deepnetts.net.layers.ConvolutionalLayer
    • deepnetts.net.layers.FlattenLayer
    • deepnetts.net.layers.FullyConnectedLayer
    • deepnetts.net.layers.InputLayer
    • deepnetts.net.layers.MaxPoolingLayer
    • deepnetts.net.layers.OutputLayer
      • deepnetts.net.layers.SoftmaxOutputLayer
  • deepnetts.net.train.opt.AbstractOptimizer
  • deepnetts.data.norm.AbstractScaler (implements javax.visrec.ml.data.preprocessing.Scaler<T>, java.io.Serializable)
    • deepnetts.data.norm.DecimalScaler
    • deepnetts.data.norm.MaxScaler
    • deepnetts.data.norm.MinMaxScaler
    • deepnetts.data.norm.RangeScaler
    • deepnetts.data.norm.Standardizer
  • deepnetts.net.train.opt.AdaDeltaOptimizer (implements deepnetts.net.train.opt.Optimizer, deepnetts.net.train.TrainingListener)
  • deepnetts.net.train.opt.AdaGradOptimizer (implements deepnetts.net.train.opt.Optimizer, java.io.Serializable)
  • deepnetts.net.train.opt.AdamOptimizer (implements deepnetts.net.train.opt.Optimizer, java.io.Serializable, deepnetts.net.train.TrainingListener)
  • deepnetts.util.AugmentImagesTest
  • deepnetts.net.train.BackpropagationTrainer (implements java.io.Serializable, deepnetts.net.train.Trainer)
  • javax.visrec.ml.data.BasicDataSet<E> (implements javax.visrec.ml.data.DataSet<E>)
    • deepnetts.data.TabularDataSet<T>
      • deepnetts.data.ImageSet
  • deepnetts.net.loss.BinaryCrossEntropyLoss (implements deepnetts.net.loss.LossFunction, java.io.Serializable)
  • deepnetts.util.BoundingBox
  • deepnetts.util.CallableConvolutionalConsumerWithBuffers (implements java.util.concurrent.Callable<V>)
  • deepnetts.util.CallableIntConsumer (implements java.util.concurrent.Callable<V>)
  • deepnetts.util.CallableRangeConsumer (implements java.util.concurrent.Callable<V>)
  • deepnetts.util.CenterOnWhiteBackground
  • deepnetts.eval.ClassificationMetrics.Stats
  • deepnetts.eval.ClassifierEvaluator (implements javax.visrec.ml.eval.Evaluator<MODEL_CLASS,DATASET_CLASS>)
  • deepnetts.util.ColorUtils
  • deepnetts.eval.ConfusionMatrix
  • deepnetts.net.ConvolutionalNetwork.Builder
  • deepnetts.util.CreateImageIndex
  • deepnetts.util.CreateLabelsIndex
  • deepnetts.net.loss.CrossEntropyLoss (implements deepnetts.net.loss.LossFunction, java.io.Serializable)
  • deepnetts.util.CsvFormat
  • deepnetts.cudnn.CudaHandles
  • deepnetts.cudnn.CudaTensor
  • deepnetts.cudnn.CudaTensorBridge (implements deepnetts.util.TensorAcceleratorBridge)
  • deepnetts.cudnn.CudaTensorLayout
  • deepnetts.cudnn.CudaUtils
  • deepnetts.data.DataSets
  • deepnetts.core.DeepNetts
  • deepnetts.util.DeepNettsLogManager
  • deepnetts.util.DeepNettsRunner
  • deepnetts.util.DeepNettsThreadPool
  • deepnetts.util.DeleteAugmentImages
  • java.util.Dictionary<K,V>
    • java.util.Hashtable<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      • java.util.Properties
        • deepnetts.util.TypedProperties
  • javax.visrec.ml.eval.EvaluationMetrics
    • deepnetts.eval.ClassificationMetrics
    • deepnetts.eval.RegressionMetrics
  • deepnetts.eval.Evaluators
  • deepnetts.data.ExampleImage (implements deepnetts.data.MLDataItem)
  • deepnetts.net.FeedForwardNetwork.Builder
  • deepnetts.automl.FeedForwardNetworkFactory (implements deepnetts.automl.NetworkFactory<T>)
  • deepnetts.util.FileIO
  • deepnetts.net.layers.Filter
  • deepnetts.net.layers.Filters
  • deepnetts.util.GenerateRandomNegative
  • deepnetts.automl.HyperParameterSearch
  • deepnetts.util.ImagePreprocessing (implements deepnetts.data.Preprocessing<T>, java.io.Serializable)
  • deepnetts.util.ImageSetUtils
  • deepnetts.util.ImageUtils
  • deepnetts.net.train.KFoldCrossValidation
  • deepnetts.net.train.KFoldCrossValidation.Builder
  • deepnetts.util.LabelProbabilities
  • deepnetts.tensor.Layout (implements java.io.Serializable)
  • deepnetts.net.layers.activation.LeakyRelu (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.net.train.opt.LearningRateDecay (implements deepnetts.net.train.TrainingListener)
  • deepnetts.util.LicenseChecker
  • deepnetts.net.layers.activation.Linear (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.net.layers.activation.MathFunctions
  • deepnetts.net.loss.MeanSquaredErrorLoss (implements deepnetts.net.loss.LossFunction, java.io.Serializable)
  • deepnetts.net.train.opt.MomentumOptimizer (implements deepnetts.net.train.opt.Optimizer, java.io.Serializable)
  • deepnetts.net.NeuralNetwork<T> (implements java.io.Serializable, deepnetts.net.train.TrainerProvider<T>)
    • deepnetts.net.ConvolutionalNetwork (implements java.io.Serializable)
    • deepnetts.net.FeedForwardNetwork
  • deepnetts.util.ObjectsOnBackgrounds
  • deepnetts.automl.Parameter<T>
  • deepnetts.util.Parameter<T>
  • deepnetts.automl.Parameters
  • deepnetts.util.Parameters
  • deepnetts.automl.Parameters.ParameterCombination
  • deepnetts.util.PhysicalCores
  • deepnetts.util.RandomGenerator
  • deepnetts.util.RandomlyTranslateImages
  • deepnetts.net.weights.RandomWeights
  • deepnetts.automl.Range<T>
  • deepnetts.util.Range
  • deepnetts.eval.RegresionEvaluator (implements javax.visrec.ml.eval.Evaluator<MODEL_CLASS,DATASET_CLASS>)
  • deepnetts.net.layers.activation.Relu (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.net.train.opt.RmsPropOptimizer (implements deepnetts.net.train.opt.Optimizer, java.io.Serializable)
  • deepnetts.eval.RootMeanSquaredError
  • deepnetts.util.RunScaleImages
  • deepnetts.net.train.opt.SgdOptimizer (implements deepnetts.net.train.opt.Optimizer, java.io.Serializable)
  • deepnetts.tensor.Shape (implements java.io.Serializable)
  • deepnetts.net.layers.activation.Sigmoid (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.net.layers.activation.SoftSign (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.util.Statistics
  • deepnetts.util.Statistics.Histogram
  • deepnetts.util.Stats
  • deepnetts.data.TabularDataSet.Item (implements deepnetts.data.MLDataItem)
  • deepnetts.net.layers.activation.Tanh (implements deepnetts.net.layers.activation.ActivationFunction, java.io.Serializable)
  • deepnetts.tensor.TensorBase (implements java.io.Serializable, deepnetts.tensor.Tensor)
    • deepnetts.tensor.Tensor1D
    • deepnetts.tensor.Tensor2D
    • deepnetts.tensor.Tensor3D
    • deepnetts.tensor.Tensor4D
  • deepnetts.util.TensorflowUtils
  • deepnetts.tensor.Tensors
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • deepnetts.util.DeepNettsException
        • deepnetts.util.LicenseChecker.LicenceException
  • deepnetts.net.train.TrainingEvent
  • deepnetts.net.train.TrainingResult
  • deepnetts.data.TrainTestSplit

Interface Hierarchy

• deepnetts.cudnn.BackwardAccelerator
• java.util.function.Consumer<T>
  • deepnetts.net.layers.activation.ActivationFunction
• deepnetts.util.ConvolutionalChannelConsumer
• java.util.EventListener
  • deepnetts.net.train.TrainingListener
• deepnetts.cudnn.ForwardAccelerator
• deepnetts.net.layers.Layer<O>
• deepnetts.net.loss.LossFunction
• deepnetts.data.MLDataItem
• deepnetts.automl.NetworkFactory<T>
• deepnetts.net.train.opt.Optimizer
• deepnetts.data.Preprocessing<T>
• deepnetts.util.RangeConsumer
• deepnetts.tensor.Tensor
• deepnetts.util.TensorAcceleratorBridge
• deepnetts.net.train.Trainer
• deepnetts.net.train.TrainerProvider<T>

Enum Class Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
    • deepnetts.net.layers.activation.ActivationType
    • deepnetts.util.ColumnType
    • deepnetts.util.ImageResize
    • deepnetts.net.layers.LayerType
    • deepnetts.net.loss.LossType
    • deepnetts.net.Mode
    • deepnetts.net.NetworkType
    • deepnetts.net.train.opt.OptimizerType
    • deepnetts.net.weights.RandomWeightsType
    • deepnetts.automl.SearchStrategy
    • deepnetts.net.train.TrainingEvent.Type