Hierarchy For All Packages

Package Hierarchies:

• org.tensorflow.framework.activations,
• org.tensorflow.framework.constraints,
• org.tensorflow.framework.data,
• org.tensorflow.framework.initializers,
• org.tensorflow.framework.losses,
• org.tensorflow.framework.metrics,
• org.tensorflow.framework.metrics.exceptions,
• org.tensorflow.framework.op,
• org.tensorflow.framework.op.linalg,
• org.tensorflow.framework.op.math,
• org.tensorflow.framework.op.nn,
• org.tensorflow.framework.op.sets,
• org.tensorflow.framework.optimizers,
• org.tensorflow.framework.regularizers,
• org.tensorflow.framework.utils

Class Hierarchy

• java.lang.Object
  • org.tensorflow.framework.activations.AbstractActivation (implements org.tensorflow.framework.activations.Activation)
    • org.tensorflow.framework.activations.ELU
    • org.tensorflow.framework.activations.Exponential
    • org.tensorflow.framework.activations.GELU
    • org.tensorflow.framework.activations.HardSigmoid
    • org.tensorflow.framework.activations.Linear
    • org.tensorflow.framework.activations.ReLU
    • org.tensorflow.framework.activations.SELU
    • org.tensorflow.framework.activations.Sigmoid
    • org.tensorflow.framework.activations.Softmax
    • org.tensorflow.framework.activations.Softplus
    • org.tensorflow.framework.activations.Softsign
    • org.tensorflow.framework.activations.Swish
    • org.tensorflow.framework.activations.Tanh
  • org.tensorflow.framework.constraints.AbstractConstraint (implements org.tensorflow.framework.constraints.Constraint)
    • org.tensorflow.framework.constraints.MaxNorm
    • org.tensorflow.framework.constraints.MinMaxNorm
    • org.tensorflow.framework.constraints.NonNeg
    • org.tensorflow.framework.constraints.UnitNorm
  • org.tensorflow.framework.losses.impl.AbstractLoss (implements org.tensorflow.framework.losses.Loss)
    • org.tensorflow.framework.losses.BinaryCrossentropy
    • org.tensorflow.framework.losses.CategoricalCrossentropy
    • org.tensorflow.framework.losses.CategoricalHinge
    • org.tensorflow.framework.losses.CosineSimilarity
    • org.tensorflow.framework.losses.Hinge
    • org.tensorflow.framework.losses.Huber
    • org.tensorflow.framework.losses.KLDivergence
    • org.tensorflow.framework.losses.LogCosh
    • org.tensorflow.framework.losses.MeanAbsoluteError
    • org.tensorflow.framework.losses.MeanAbsolutePercentageError
    • org.tensorflow.framework.losses.MeanSquaredError
    • org.tensorflow.framework.losses.MeanSquaredLogarithmicError
    • org.tensorflow.framework.losses.Poisson
    • org.tensorflow.framework.losses.SparseCategoricalCrossentropy
    • org.tensorflow.framework.losses.SquaredHinge
  • org.tensorflow.framework.regularizers.AbstractRegularizer (implements org.tensorflow.framework.regularizers.Regularizer)
    • org.tensorflow.framework.regularizers.L1L2
      • org.tensorflow.framework.regularizers.L1
      • org.tensorflow.framework.regularizers.L2
  • org.tensorflow.framework.op.math.Axes
  • org.tensorflow.framework.initializers.BaseInitializer<T> (implements org.tensorflow.framework.initializers.Initializer<T>)
    • org.tensorflow.framework.initializers.Constant<T>
    • org.tensorflow.framework.initializers.Identity<T>
    • org.tensorflow.framework.initializers.Ones<T>
    • org.tensorflow.framework.initializers.Orthogonal<T>
    • org.tensorflow.framework.initializers.RandomNormal<T>
    • org.tensorflow.framework.initializers.RandomUniform<T>
    • org.tensorflow.framework.initializers.TruncatedNormal<T>
    • org.tensorflow.framework.initializers.VarianceScaling<T>
      • org.tensorflow.framework.initializers.Glorot<T>
      • org.tensorflow.framework.initializers.He<T>
      • org.tensorflow.framework.initializers.LeCun<T>
    • org.tensorflow.framework.initializers.Zeros<T>
  • org.tensorflow.framework.metrics.BaseMetric (implements org.tensorflow.framework.metrics.Metric)
    • org.tensorflow.framework.metrics.AUC<T>
    • org.tensorflow.framework.metrics.impl.ConfusionMatrixConditionCount<T>
      • org.tensorflow.framework.metrics.FalseNegatives<T>
      • org.tensorflow.framework.metrics.FalsePositives<T>
      • org.tensorflow.framework.metrics.TrueNegatives<T>
      • org.tensorflow.framework.metrics.TruePositives<T>
    • org.tensorflow.framework.metrics.MeanIoU<T>
    • org.tensorflow.framework.metrics.MeanTensor<T>
    • org.tensorflow.framework.metrics.Precision<T>
    • org.tensorflow.framework.metrics.Recall<T>
    • org.tensorflow.framework.metrics.impl.Reduce<T>
      • org.tensorflow.framework.metrics.Mean<T>
        • org.tensorflow.framework.metrics.impl.MeanBaseMetricWrapper<T>
          • org.tensorflow.framework.metrics.Accuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.BinaryAccuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.BinaryCrossentropy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.CategoricalAccuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.CategoricalCrossentropy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.CategoricalHinge<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.CosineSimilarity<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.Hinge<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.KLDivergence<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.LogCoshError<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.MeanAbsoluteError<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.MeanAbsolutePercentageError<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.MeanSquaredError<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.MeanSquaredLogarithmicError<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.Poisson<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.SparseCategoricalAccuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.SparseCategoricalCrossentropy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.SparseTopKCategoricalAccuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.SquaredHinge<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
          • org.tensorflow.framework.metrics.TopKCategoricalAccuracy<T> (implements org.tensorflow.framework.metrics.impl.LossMetric)
        • org.tensorflow.framework.metrics.MeanRelativeError<T>
        • org.tensorflow.framework.metrics.RootMeanSquaredError<T>
      • org.tensorflow.framework.metrics.Sum<T>
    • org.tensorflow.framework.metrics.impl.SensitivitySpecificityBase<T>
      • org.tensorflow.framework.metrics.PrecisionAtRecall<T>
      • org.tensorflow.framework.metrics.RecallAtPrecision<T>
      • org.tensorflow.framework.metrics.SensitivityAtSpecificity<T>
      • org.tensorflow.framework.metrics.SpecificityAtSensitivity<T>
  • org.tensorflow.framework.utils.CastHelper
  • org.tensorflow.framework.op.math.ConfusionMatrix
  • org.tensorflow.framework.data.Dataset (implements java.lang.Iterable<T>)
  • org.tensorflow.framework.data.DatasetIterator (implements java.lang.Iterable<T>)
  • org.tensorflow.framework.data.DatasetOptional
  • org.tensorflow.framework.op.FrameworkOps
  • org.tensorflow.framework.op.nn.GELU
  • org.tensorflow.framework.op.math.L2Normalize
  • org.tensorflow.framework.op.LinalgOps
  • org.tensorflow.framework.losses.Losses
  • org.tensorflow.framework.op.MathOps
  • org.tensorflow.framework.op.linalg.MatMul
  • org.tensorflow.framework.metrics.Metrics
  • org.tensorflow.framework.op.NnOps
  • org.tensorflow.framework.optimizers.Optimizer
    • org.tensorflow.framework.optimizers.AdaDelta
    • org.tensorflow.framework.optimizers.AdaGrad
    • org.tensorflow.framework.optimizers.AdaGradDA
    • org.tensorflow.framework.optimizers.Adam
    • org.tensorflow.framework.optimizers.Adamax
    • org.tensorflow.framework.optimizers.Ftrl
    • org.tensorflow.framework.optimizers.GradientDescent
    • org.tensorflow.framework.optimizers.Momentum
    • org.tensorflow.framework.optimizers.Nadam
    • org.tensorflow.framework.optimizers.RMSProp
  • org.tensorflow.framework.optimizers.Optimizer.GradAndVar<T>
  • org.tensorflow.framework.optimizers.Optimizer.Options
  • org.tensorflow.framework.op.math.ReduceLogSumExp
  • org.tensorflow.framework.op.SetOps
  • org.tensorflow.framework.op.sets.Sets
  • org.tensorflow.framework.utils.ShapeUtils
  • org.tensorflow.framework.op.nn.SigmoidCrossEntropyWithLogits
  • org.tensorflow.framework.op.nn.SoftmaxCrossEntropyWithLogits
  • org.tensorflow.framework.op.nn.SparseSoftmaxCrossEntropyWithLogits
  • org.tensorflow.framework.utils.SparseTensor<T>
  • org.tensorflow.framework.op.math.TensorDot
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • java.lang.IllegalArgumentException
          • org.tensorflow.framework.metrics.exceptions.NotBroadcastableException

Interface Hierarchy

• org.tensorflow.framework.activations.Activation
• org.tensorflow.framework.constraints.Constraint
• org.tensorflow.framework.initializers.Initializer<T>
• org.tensorflow.framework.losses.Loss
• org.tensorflow.framework.metrics.Metric
• org.tensorflow.framework.regularizers.Regularizer

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • org.tensorflow.framework.activations.Activations
    • org.tensorflow.framework.metrics.AUCCurve
    • org.tensorflow.framework.metrics.AUCSummationMethod
    • org.tensorflow.framework.metrics.MetricReduction
    • org.tensorflow.framework.optimizers.Optimizers
    • org.tensorflow.framework.losses.Reduction
    • org.tensorflow.framework.op.sets.Sets.Operation
    • org.tensorflow.framework.initializers.VarianceScaling.Distribution
    • org.tensorflow.framework.initializers.VarianceScaling.Mode