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object learn extends API

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Type Members

  1. type Activation[T] = learn.layers.Activation[T]
    Definition Classes
    API
  2. type AddBias[T] = learn.layers.AddBias[T]
    Definition Classes
    API
  3. type AddN[T] = learn.layers.AddN[T]
    Definition Classes
    API
  4. type AudioSummary = learn.layers.AudioSummary
    Definition Classes
    API
  5. type BasicLSTMCell[T] = learn.layers.rnn.cell.BasicLSTMCell[T]
    Definition Classes
    API
  6. type BasicRNNCell[T] = learn.layers.rnn.cell.BasicRNNCell[T]
    Definition Classes
    API
  7. type BasicTuple[T] = Tuple[ops.Output[T], ops.Output[T]]
    Definition Classes
    API
  8. type BatchNormalization[T] = learn.layers.BatchNormalization[T]
    Definition Classes
    API
  9. type BidirectionalRNN[Out, State, OutShape, StateShape] = learn.layers.rnn.BidirectionalRNN[Out, State, OutShape, StateShape]
    Definition Classes
    API
  10. type CReLU[T] = learn.layers.CReLU[T]
    Definition Classes
    API
  11. type Cast[From, To] = learn.layers.Cast[From, To]
    Definition Classes
    API
  12. type CheckpointSaver = learn.hooks.CheckpointSaver
    Definition Classes
    API
  13. type ClipGradients = learn.ClipGradients
    Definition Classes
    API
  14. type ClipGradientsByAverageNorm = learn.ClipGradientsByAverageNorm
    Definition Classes
    API
  15. type ClipGradientsByGlobalNorm = learn.ClipGradientsByGlobalNorm
    Definition Classes
    API
  16. type ClipGradientsByNorm = learn.ClipGradientsByNorm
    Definition Classes
    API
  17. type ClipGradientsByValue = learn.ClipGradientsByValue
    Definition Classes
    API
  18. type Compose[T, R, S] = learn.layers.Compose[T, R, S]
    Definition Classes
    API
  19. type Concatenate[T, R] = learn.layers.Concatenate[T, R]
    Definition Classes
    API
  20. type Configuration = learn.Configuration
    Definition Classes
    API
  21. type Conv2D[T] = learn.layers.Conv2D[T]
    Definition Classes
    API
  22. type DeviceWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.DeviceWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  23. type Dropout[T] = learn.layers.Dropout[T]
    Definition Classes
    API
  24. type DropoutWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.DropoutWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  25. type ELU[T] = learn.layers.ELU[T]
    Definition Classes
    API
  26. type Embedding[T] = learn.layers.Embedding[T]
    Definition Classes
    API
  27. type Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Definition Classes
    API
  28. type Evaluator[In, TrainIn, Out, TrainOut, Loss, InEval, TrainInD, TrainInS] = learn.hooks.Evaluator[In, TrainIn, Out, TrainOut, Loss, InEval, TrainInD, TrainInS]
    Definition Classes
    API
  29. type FileBasedEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.FileBasedEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Definition Classes
    API
  30. type Flatten[T] = learn.layers.Flatten[T]
    Definition Classes
    API
  31. type GRUCell[T] = learn.layers.rnn.cell.GRUCell[T]
    Definition Classes
    API
  32. type HistogramSummary[T] = learn.layers.HistogramSummary[T]
    Definition Classes
    API
  33. type Hook = learn.hooks.Hook
    Definition Classes
    API
  34. type Identity[T] = learn.layers.Identity[T]
    Definition Classes
    API
  35. type ImageSummary[T] = learn.layers.ImageSummary[T]
    Definition Classes
    API
  36. type InMemoryEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.InMemoryEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Definition Classes
    API
  37. type InferenceModel[In, Out] = learn.InferenceModel[In, Out]
    Definition Classes
    API
  38. type Input[T] = learn.layers.Input[T]
    Definition Classes
    API
  39. type L2Loss[Predictions, L] = learn.layers.L2Loss[Predictions, L]
    Definition Classes
    API
  40. type LRN[T] = learn.layers.LRN[T]
    Definition Classes
    API
  41. type LSTMCell[T] = learn.layers.rnn.cell.LSTMCell[T]
    Definition Classes
    API
  42. type LSTMState[T] = ops.rnn.cell.LSTMState[T]
    Definition Classes
    API
  43. type LSTMTuple[T] = Tuple[ops.Output[T], ops.rnn.cell.LSTMState[T]]
    Definition Classes
    API
  44. type Layer[T, R] = learn.layers.Layer[T, R]
    Definition Classes
    API
  45. type Linear[T] = learn.layers.Linear[T]
    Definition Classes
    API
  46. type LogPoissonLoss[Predictions, L] = learn.layers.LogPoissonLoss[Predictions, L]
    Definition Classes
    API
  47. type LogSigmoid[T] = learn.layers.LogSigmoid[T]
    Definition Classes
    API
  48. type LogSoftmax[T] = learn.layers.LogSoftmax[T]
    Definition Classes
    API
  49. type Loss[Predictions, L] = learn.layers.Loss[Predictions, L]
    Definition Classes
    API
  50. type LossLogger = learn.hooks.LossLogger
    Definition Classes
    API
  51. type Map[T, R, MR] = learn.layers.Map[T, R, MR]
    Definition Classes
    API
  52. type MapSeq[T, R, S, CC[A] <: TraversableLike[A, CC[A]]] = learn.layers.MapSeq[T, R, S, CC]
    Definition Classes
    API
  53. type MaxPool[T] = learn.layers.MaxPool[T]
    Definition Classes
    API
  54. type Mean[T] = learn.layers.Mean[T]
    Definition Classes
    API
  55. type Mode = learn.Mode
    Definition Classes
    API
  56. type Model = learn.Model
    Definition Classes
    API
  57. type ModelDependentHook[In, TrainIn, Out, TrainOut, Loss, InEval] = learn.hooks.ModelDependentHook[In, TrainIn, Out, TrainOut, Loss, InEval]
    Definition Classes
    API
  58. type NaNChecker = learn.hooks.NaNChecker
    Definition Classes
    API
  59. type OneHot[T, I] = learn.layers.OneHot[T, I]
    Definition Classes
    API
  60. type ParameterGetter = learn.layers.ParameterGetter
    Definition Classes
    API
  61. type RNN[Out, State, OutShape, StateShape] = learn.layers.rnn.RNN[Out, State, OutShape, StateShape]
    Definition Classes
    API
  62. type RNNCell[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.RNNCell[Out, State, OutShape, StateShape]
    Definition Classes
    API
  63. type RNNTuple[Out, State] = Tuple[Out, State]
    Definition Classes
    API
  64. type ReLU[T] = learn.layers.ReLU[T]
    Definition Classes
    API
  65. type ReLU6[T] = learn.layers.ReLU6[T]
    Definition Classes
    API
  66. type Reshape[T] = learn.layers.Reshape[T]
    Definition Classes
    API
  67. type ResidualWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.ResidualWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  68. type SELU[T] = learn.layers.SELU[T]
    Definition Classes
    API
  69. type ScalarSummary[T] = learn.layers.ScalarSummary[T]
    Definition Classes
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  70. type SequenceLoss[Predictions, Labels, L] = learn.layers.SequenceLoss[Predictions, Labels, L]
    Definition Classes
    API
  71. type Sigmoid[T] = learn.layers.Sigmoid[T]
    Definition Classes
    API
  72. type SigmoidCrossEntropy[Predictions, L] = learn.layers.SigmoidCrossEntropy[Predictions, L]
    Definition Classes
    API
  73. type Softmax[T] = learn.layers.Softmax[T]
    Definition Classes
    API
  74. type SoftmaxCrossEntropy[Predictions, L] = learn.layers.SoftmaxCrossEntropy[Predictions, L]
    Definition Classes
    API
  75. type Softplus[T] = learn.layers.Softplus[T]
    Definition Classes
    API
  76. type Softsign[T] = learn.layers.Softsign[T]
    Definition Classes
    API
  77. type SparseSoftmaxCrossEntropy[Predictions, I, L] = learn.layers.SparseSoftmaxCrossEntropy[Predictions, I, L]
    Definition Classes
    API
  78. type Squeeze[T] = learn.layers.Squeeze[T]
    Definition Classes
    API
  79. type Stack[T] = learn.layers.Stack[T]
    Definition Classes
    API
  80. type StackedCell[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.StackedCell[Out, State, OutShape, StateShape]
    Definition Classes
    API
  81. type StepRateLogger = learn.hooks.StepRateLogger
    Definition Classes
    API
  82. type StopCriteria = learn.StopCriteria
    Definition Classes
    API
  83. type Stopper = learn.hooks.Stopper
    Definition Classes
    API
  84. type Sum[T] = learn.layers.Sum[T]
    Definition Classes
    API
  85. type Summary[T] = learn.layers.Summary[T]
    Definition Classes
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  86. type SummarySaver = learn.hooks.SummarySaver
    Definition Classes
    API
  87. type SummaryWriterHookAddOn = learn.hooks.SummaryWriterHookAddOn
    Definition Classes
    API
  88. type SupervisedTrainableModel[In, TrainIn, Out, TrainOut, Loss] = learn.SupervisedTrainableModel[In, TrainIn, Out, TrainOut, Loss]
    Definition Classes
    API
  89. type TensorBoardHook = learn.hooks.TensorBoardHook
    Definition Classes
    API
  90. type TensorLogger = learn.hooks.TensorLogger
    Definition Classes
    API
  91. type TimelineHook = learn.hooks.TimelineHook
    Definition Classes
    API
  92. type TrainableModel[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.TrainableModel[In, TrainIn, Out, TrainOut, Loss, EvalIn]
    Definition Classes
    API
  93. type Transpose[T] = learn.layers.Transpose[T]
    Definition Classes
    API
  94. type TriggeredHook = learn.hooks.TriggeredHook
    Definition Classes
    API
  95. type UnsupervisedTrainableModel[In, Out, Loss] = learn.UnsupervisedTrainableModel[In, Out, Loss]
    Definition Classes
    API

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val AddBias: learn.layers.AddBias.type
    Definition Classes
    API
  5. val AddN: learn.layers.AddN.type
    Definition Classes
    API
  6. val AudioSummary: learn.layers.AudioSummary.type
    Definition Classes
    API
  7. val BasicLSTMCell: learn.layers.rnn.cell.BasicLSTMCell.type
    Definition Classes
    API
  8. val BasicRNNCell: learn.layers.rnn.cell.BasicRNNCell.type
    Definition Classes
    API
  9. val BatchNormalization: learn.layers.BatchNormalization.type
    Definition Classes
    API
  10. val BidirectionalRNN: learn.layers.rnn.BidirectionalRNN.type
    Definition Classes
    API
  11. val CReLU: learn.layers.CReLU.type
    Definition Classes
    API
  12. val Cast: learn.layers.Cast.type
    Definition Classes
    API
  13. val CheckpointSaver: learn.hooks.CheckpointSaver.type
    Definition Classes
    API
  14. val ClipGradientsByAverageNorm: learn.ClipGradientsByAverageNorm.type
    Definition Classes
    API
  15. val ClipGradientsByGlobalNorm: learn.ClipGradientsByGlobalNorm.type
    Definition Classes
    API
  16. val ClipGradientsByNorm: learn.ClipGradientsByNorm.type
    Definition Classes
    API
  17. val ClipGradientsByValue: learn.ClipGradientsByValue.type
    Definition Classes
    API
  18. val Configuration: learn.Configuration.type
    Definition Classes
    API
  19. val Conv2D: learn.layers.Conv2D.type
    Definition Classes
    API
  20. val DeviceWrapper: learn.layers.rnn.cell.DeviceWrapper.type
    Definition Classes
    API
  21. val Dropout: learn.layers.Dropout.type
    Definition Classes
    API
  22. val DropoutWrapper: learn.layers.rnn.cell.DropoutWrapper.type
    Definition Classes
    API
  23. val ELU: learn.layers.ELU.type
    Definition Classes
    API
  24. val EVALUATION: learn.EVALUATION.type
    Definition Classes
    API
  25. val Embedding: learn.layers.Embedding.type
    Definition Classes
    API
  26. val Estimator: learn.estimators.Estimator.type
    Definition Classes
    API
  27. val Evaluator: learn.hooks.Evaluator.type
    Definition Classes
    API
  28. val FileBasedEstimator: learn.estimators.FileBasedEstimator.type
    Definition Classes
    API
  29. val Flatten: learn.layers.Flatten.type
    Definition Classes
    API
  30. val GRUCell: learn.layers.rnn.cell.GRUCell.type
    Definition Classes
    API
  31. val HistogramSummary: learn.layers.HistogramSummary.type
    Definition Classes
    API
  32. val INFERENCE: learn.INFERENCE.type
    Definition Classes
    API
  33. val Identity: learn.layers.Identity.type
    Definition Classes
    API
  34. val ImageSummary: learn.layers.ImageSummary.type
    Definition Classes
    API
  35. val InMemoryEstimator: learn.estimators.InMemoryEstimator.type
    Definition Classes
    API
  36. val Input: learn.layers.Input.type
    Definition Classes
    API
  37. val L2Loss: learn.layers.L2Loss.type
    Definition Classes
    API
  38. val LRN: learn.layers.LRN.type
    Definition Classes
    API
  39. val LSTMCell: learn.layers.rnn.cell.LSTMCell.type
    Definition Classes
    API
  40. val LSTMState: learn.layers.rnn.cell.LSTMState.type
    Definition Classes
    API
  41. def LSTMTuple[T](output: ops.Output[T], state: LSTMState[T]): LSTMTuple[T]
    Definition Classes
    API
  42. val Linear: learn.layers.Linear.type
    Definition Classes
    API
  43. val LogPoissonLoss: learn.layers.LogPoissonLoss.type
    Definition Classes
    API
  44. val LogSigmoid: learn.layers.LogSigmoid.type
    Definition Classes
    API
  45. val LogSoftmax: learn.layers.LogSoftmax.type
    Definition Classes
    API
  46. val LossLogger: learn.hooks.LossLogger.type
    Definition Classes
    API
  47. def MLP[T](name: String, hiddenLayers: Seq[Int], outputSize: Int, activation: (String) ⇒ learn.layers.Layer[ops.Output[T], ops.Output[T]] = null, dropout: Float = 0.0f)(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T]): learn.layers.Layer[ops.Output[T], ops.Output[T]]
    Definition Classes
    API
  48. val Map: learn.layers.Map.type
    Definition Classes
    API
  49. val MapSeq: learn.layers.MapSeq.type
    Definition Classes
    API
  50. val MaxPool: learn.layers.MaxPool.type
    Definition Classes
    API
  51. val Mean: learn.layers.Mean.type
    Definition Classes
    API
  52. val Model: learn.Model.type
    Definition Classes
    API
  53. val NaNChecker: learn.hooks.NaNChecker.type
    Definition Classes
    API
  54. val NoClipGradients: learn.NoClipGradients.type
    Definition Classes
    API
  55. val NoHookTrigger: learn.hooks.NoHookTrigger.type
    Definition Classes
    API
  56. val OneHot: learn.layers.OneHot.type
    Definition Classes
    API
  57. val RNN: learn.layers.rnn.RNN.type
    Definition Classes
    API
  58. val RNNTuple: Tuple.type
    Definition Classes
    API
  59. val ReLU: learn.layers.ReLU.type
    Definition Classes
    API
  60. val ReLU6: learn.layers.ReLU6.type
    Definition Classes
    API
  61. val Reshape: learn.layers.Reshape.type
    Definition Classes
    API
  62. val ResidualWrapper: learn.layers.rnn.cell.ResidualWrapper.type
    Definition Classes
    API
  63. val SELU: learn.layers.SELU.type
    Definition Classes
    API
  64. val ScalarSummary: learn.layers.ScalarSummary.type
    Definition Classes
    API
  65. val SequenceLoss: learn.layers.SequenceLoss.type
    Definition Classes
    API
  66. val Sigmoid: learn.layers.Sigmoid.type
    Definition Classes
    API
  67. val SigmoidCrossEntropy: learn.layers.SigmoidCrossEntropy.type
    Definition Classes
    API
  68. val Softmax: learn.layers.Softmax.type
    Definition Classes
    API
  69. val SoftmaxCrossEntropy: learn.layers.SoftmaxCrossEntropy.type
    Definition Classes
    API
  70. val Softplus: learn.layers.Softplus.type
    Definition Classes
    API
  71. val Softsign: learn.layers.Softsign.type
    Definition Classes
    API
  72. val SparseSoftmaxCrossEntropy: learn.layers.SparseSoftmaxCrossEntropy.type
    Definition Classes
    API
  73. val Squeeze: learn.layers.Squeeze.type
    Definition Classes
    API
  74. val Stack: learn.layers.Stack.type
    Definition Classes
    API
  75. val StackedCell: learn.layers.rnn.cell.StackedCell.type
    Definition Classes
    API
  76. val StepHookTrigger: learn.hooks.StepHookTrigger.type
    Definition Classes
    API
  77. val StepRateLogger: learn.hooks.StepRateLogger.type
    Definition Classes
    API
  78. val StopCriteria: learn.StopCriteria.type
    Definition Classes
    API
  79. val Stopper: learn.hooks.Stopper.type
    Definition Classes
    API
  80. val Sum: learn.layers.Sum.type
    Definition Classes
    API
  81. val SummarySaver: learn.hooks.SummarySaver.type
    Definition Classes
    API
  82. val TRAINING: learn.TRAINING.type
    Definition Classes
    API
  83. val TensorBoardConfig: config.TensorBoardConfig.type
    Definition Classes
    API
  84. val TensorBoardHook: learn.hooks.TensorBoardHook.type
    Definition Classes
    API
  85. val TensorLogger: learn.hooks.TensorLogger.type
    Definition Classes
    API
  86. val TimeHookTrigger: learn.hooks.TimeHookTrigger.type
    Definition Classes
    API
  87. val TimelineHook: learn.hooks.TimelineHook.type
    Definition Classes
    API
  88. val Transpose: learn.layers.Transpose.type
    Definition Classes
    API
  89. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  90. def clone(): AnyRef
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    protected[java.lang]
    Definition Classes
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    @native() @throws( ... )
  91. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  92. def equals(arg0: Any): Boolean
    Definition Classes
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  93. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  94. final def getClass(): Class[_]
    Definition Classes
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    Annotations
    @native()
  95. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  96. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  97. final def ne(arg0: AnyRef): Boolean
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  98. final def notify(): Unit
    Definition Classes
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    @native()
  99. final def notifyAll(): Unit
    Definition Classes
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    @native()
  100. final def synchronized[T0](arg0: ⇒ T0): T0
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  101. def toString(): String
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  102. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  103. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  104. final def wait(arg0: Long): Unit
    Definition Classes
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    @native() @throws( ... )
  105. def withParameterGetter[R](parameterGetter: ParameterGetter)(block: ⇒ R): R
    Definition Classes
    API

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