object learn extends API
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- type Activation[T] = learn.layers.Activation[T]
- Definition Classes
- API
- type AddBias[T] = learn.layers.AddBias[T]
- Definition Classes
- API
- type AddN[T] = learn.layers.AddN[T]
- Definition Classes
- API
- type AudioSummary = learn.layers.AudioSummary
- Definition Classes
- API
- type BasicLSTMCell[T] = learn.layers.rnn.cell.BasicLSTMCell[T]
- Definition Classes
- API
- type BasicRNNCell[T] = learn.layers.rnn.cell.BasicRNNCell[T]
- Definition Classes
- API
- type BasicTuple[T] = Tuple[ops.Output[T], ops.Output[T]]
- Definition Classes
- API
- type BatchNormalization[T] = learn.layers.BatchNormalization[T]
- Definition Classes
- API
- type BidirectionalRNN[Out, State, OutShape, StateShape] = learn.layers.rnn.BidirectionalRNN[Out, State, OutShape, StateShape]
- Definition Classes
- API
- type CReLU[T] = learn.layers.CReLU[T]
- Definition Classes
- API
- type Cast[From, To] = learn.layers.Cast[From, To]
- Definition Classes
- API
- type CheckpointSaver = learn.hooks.CheckpointSaver
- Definition Classes
- API
- type ClipGradients = learn.ClipGradients
- Definition Classes
- API
- type ClipGradientsByAverageNorm = learn.ClipGradientsByAverageNorm
- Definition Classes
- API
- type ClipGradientsByGlobalNorm = learn.ClipGradientsByGlobalNorm
- Definition Classes
- API
- type ClipGradientsByNorm = learn.ClipGradientsByNorm
- Definition Classes
- API
- type ClipGradientsByValue = learn.ClipGradientsByValue
- Definition Classes
- API
- type Compose[T, R, S] = learn.layers.Compose[T, R, S]
- Definition Classes
- API
- type Concatenate[T, R] = learn.layers.Concatenate[T, R]
- Definition Classes
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- type Configuration = learn.Configuration
- Definition Classes
- API
- type Conv2D[T] = learn.layers.Conv2D[T]
- Definition Classes
- API
- type DeviceWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.DeviceWrapper[Out, State, OutShape, StateShape]
- Definition Classes
- API
- type Dropout[T] = learn.layers.Dropout[T]
- Definition Classes
- API
- type DropoutWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.DropoutWrapper[Out, State, OutShape, StateShape]
- Definition Classes
- API
- type ELU[T] = learn.layers.ELU[T]
- Definition Classes
- API
- type Embedding[T] = learn.layers.Embedding[T]
- Definition Classes
- API
- type Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.Estimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
- Definition Classes
- API
- type Evaluator[In, TrainIn, Out, TrainOut, Loss, InEval, TrainInD, TrainInS] = learn.hooks.Evaluator[In, TrainIn, Out, TrainOut, Loss, InEval, TrainInD, TrainInS]
- Definition Classes
- API
- type FileBasedEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.FileBasedEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
- Definition Classes
- API
- type Flatten[T] = learn.layers.Flatten[T]
- Definition Classes
- API
- type GRUCell[T] = learn.layers.rnn.cell.GRUCell[T]
- Definition Classes
- API
- type HistogramSummary[T] = learn.layers.HistogramSummary[T]
- Definition Classes
- API
- type Hook = learn.hooks.Hook
- Definition Classes
- API
- type Identity[T] = learn.layers.Identity[T]
- Definition Classes
- API
- type ImageSummary[T] = learn.layers.ImageSummary[T]
- Definition Classes
- API
- type InMemoryEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.estimators.InMemoryEstimator[In, TrainIn, Out, TrainOut, Loss, EvalIn]
- Definition Classes
- API
- type InferenceModel[In, Out] = learn.InferenceModel[In, Out]
- Definition Classes
- API
- type Input[T] = learn.layers.Input[T]
- Definition Classes
- API
- type L2Loss[Predictions, L] = learn.layers.L2Loss[Predictions, L]
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- API
- type LRN[T] = learn.layers.LRN[T]
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- API
- type LSTMCell[T] = learn.layers.rnn.cell.LSTMCell[T]
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- type LSTMState[T] = ops.rnn.cell.LSTMState[T]
- Definition Classes
- API
- type LSTMTuple[T] = Tuple[ops.Output[T], ops.rnn.cell.LSTMState[T]]
- Definition Classes
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- type Layer[T, R] = learn.layers.Layer[T, R]
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- type Linear[T] = learn.layers.Linear[T]
- Definition Classes
- API
- type LogPoissonLoss[Predictions, L] = learn.layers.LogPoissonLoss[Predictions, L]
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- API
- type LogSigmoid[T] = learn.layers.LogSigmoid[T]
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- type LogSoftmax[T] = learn.layers.LogSoftmax[T]
- Definition Classes
- API
- type Loss[Predictions, L] = learn.layers.Loss[Predictions, L]
- Definition Classes
- API
- type LossLogger = learn.hooks.LossLogger
- Definition Classes
- API
- type Map[T, R, MR] = learn.layers.Map[T, R, MR]
- Definition Classes
- API
- type MapSeq[T, R, S, CC[A] <: Iterable[A]] = learn.layers.MapSeq[T, R, S, CC]
- Definition Classes
- API
- type MaxPool[T] = learn.layers.MaxPool[T]
- Definition Classes
- API
- type Mean[T] = learn.layers.Mean[T]
- Definition Classes
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- type Mode = learn.Mode
- Definition Classes
- API
- type Model = learn.Model
- Definition Classes
- API
- type ModelDependentHook[In, TrainIn, Out, TrainOut, Loss, InEval] = learn.hooks.ModelDependentHook[In, TrainIn, Out, TrainOut, Loss, InEval]
- Definition Classes
- API
- type NaNChecker = learn.hooks.NaNChecker
- Definition Classes
- API
- type OneHot[T, I] = learn.layers.OneHot[T, I]
- Definition Classes
- API
- type ParameterGetter = learn.layers.ParameterGetter
- Definition Classes
- API
- type RNN[Out, State, OutShape, StateShape] = learn.layers.rnn.RNN[Out, State, OutShape, StateShape]
- Definition Classes
- API
- type RNNCell[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.RNNCell[Out, State, OutShape, StateShape]
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- type RNNTuple[Out, State] = Tuple[Out, State]
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- type ReLU[T] = learn.layers.ReLU[T]
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- type ReLU6[T] = learn.layers.ReLU6[T]
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- type Reshape[T] = learn.layers.Reshape[T]
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- type ResidualWrapper[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.ResidualWrapper[Out, State, OutShape, StateShape]
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- type SELU[T] = learn.layers.SELU[T]
- Definition Classes
- API
- type ScalarSummary[T] = learn.layers.ScalarSummary[T]
- Definition Classes
- API
- type SequenceLoss[Predictions, Labels, L] = learn.layers.SequenceLoss[Predictions, Labels, L]
- Definition Classes
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- type Sigmoid[T] = learn.layers.Sigmoid[T]
- Definition Classes
- API
- type SigmoidCrossEntropy[Predictions, L] = learn.layers.SigmoidCrossEntropy[Predictions, L]
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- type Softmax[T] = learn.layers.Softmax[T]
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- type SoftmaxCrossEntropy[Predictions, L] = learn.layers.SoftmaxCrossEntropy[Predictions, L]
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- type Softplus[T] = learn.layers.Softplus[T]
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- type Softsign[T] = learn.layers.Softsign[T]
- Definition Classes
- API
- type SparseSoftmaxCrossEntropy[Predictions, I, L] = learn.layers.SparseSoftmaxCrossEntropy[Predictions, I, L]
- Definition Classes
- API
- type Squeeze[T] = learn.layers.Squeeze[T]
- Definition Classes
- API
- type Stack[T] = learn.layers.Stack[T]
- Definition Classes
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- type StackedCell[Out, State, OutShape, StateShape] = learn.layers.rnn.cell.StackedCell[Out, State, OutShape, StateShape]
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- API
- type StepRateLogger = learn.hooks.StepRateLogger
- Definition Classes
- API
- type StopCriteria = learn.StopCriteria
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- API
- type Stopper = learn.hooks.Stopper
- Definition Classes
- API
- type Sum[T] = learn.layers.Sum[T]
- Definition Classes
- API
- type Summary[T] = learn.layers.Summary[T]
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- API
- type SummarySaver = learn.hooks.SummarySaver
- Definition Classes
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- type SummaryWriterHookAddOn = learn.hooks.SummaryWriterHookAddOn
- Definition Classes
- API
- type SupervisedTrainableModel[In, TrainIn, Out, TrainOut, Loss] = learn.SupervisedTrainableModel[In, TrainIn, Out, TrainOut, Loss]
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- API
- type TensorBoardHook = learn.hooks.TensorBoardHook
- Definition Classes
- API
- type TensorLogger = learn.hooks.TensorLogger
- Definition Classes
- API
- type TimelineHook = learn.hooks.TimelineHook
- Definition Classes
- API
- type TrainableModel[In, TrainIn, Out, TrainOut, Loss, EvalIn] = learn.TrainableModel[In, TrainIn, Out, TrainOut, Loss, EvalIn]
- Definition Classes
- API
- type Transpose[T] = learn.layers.Transpose[T]
- Definition Classes
- API
- type TriggeredHook = learn.hooks.TriggeredHook
- Definition Classes
- API
- type UnsupervisedTrainableModel[In, Out, Loss] = learn.UnsupervisedTrainableModel[In, Out, Loss]
- Definition Classes
- API
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
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- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- val AddBias: learn.layers.AddBias.type
- Definition Classes
- API
- val AddN: learn.layers.AddN.type
- Definition Classes
- API
- val AudioSummary: learn.layers.AudioSummary.type
- Definition Classes
- API
- val BasicLSTMCell: learn.layers.rnn.cell.BasicLSTMCell.type
- Definition Classes
- API
- val BasicRNNCell: learn.layers.rnn.cell.BasicRNNCell.type
- Definition Classes
- API
- val BatchNormalization: learn.layers.BatchNormalization.type
- Definition Classes
- API
- val BidirectionalRNN: learn.layers.rnn.BidirectionalRNN.type
- Definition Classes
- API
- val CReLU: learn.layers.CReLU.type
- Definition Classes
- API
- val Cast: learn.layers.Cast.type
- Definition Classes
- API
- val CheckpointSaver: learn.hooks.CheckpointSaver.type
- Definition Classes
- API
- val ClipGradientsByAverageNorm: learn.ClipGradientsByAverageNorm.type
- Definition Classes
- API
- val ClipGradientsByGlobalNorm: learn.ClipGradientsByGlobalNorm.type
- Definition Classes
- API
- val ClipGradientsByNorm: learn.ClipGradientsByNorm.type
- Definition Classes
- API
- val ClipGradientsByValue: learn.ClipGradientsByValue.type
- Definition Classes
- API
- val Configuration: learn.Configuration.type
- Definition Classes
- API
- val Conv2D: learn.layers.Conv2D.type
- Definition Classes
- API
- val DeviceWrapper: learn.layers.rnn.cell.DeviceWrapper.type
- Definition Classes
- API
- val Dropout: learn.layers.Dropout.type
- Definition Classes
- API
- val DropoutWrapper: learn.layers.rnn.cell.DropoutWrapper.type
- Definition Classes
- API
- val ELU: learn.layers.ELU.type
- Definition Classes
- API
- val EVALUATION: learn.EVALUATION.type
- Definition Classes
- API
- val Embedding: learn.layers.Embedding.type
- Definition Classes
- API
- val Estimator: learn.estimators.Estimator.type
- Definition Classes
- API
- val Evaluator: learn.hooks.Evaluator.type
- Definition Classes
- API
- val FileBasedEstimator: learn.estimators.FileBasedEstimator.type
- Definition Classes
- API
- val Flatten: learn.layers.Flatten.type
- Definition Classes
- API
- val GRUCell: learn.layers.rnn.cell.GRUCell.type
- Definition Classes
- API
- val HistogramSummary: learn.layers.HistogramSummary.type
- Definition Classes
- API
- val INFERENCE: learn.INFERENCE.type
- Definition Classes
- API
- val Identity: learn.layers.Identity.type
- Definition Classes
- API
- val ImageSummary: learn.layers.ImageSummary.type
- Definition Classes
- API
- val InMemoryEstimator: learn.estimators.InMemoryEstimator.type
- Definition Classes
- API
- val Input: learn.layers.Input.type
- Definition Classes
- API
- val L2Loss: learn.layers.L2Loss.type
- Definition Classes
- API
- val LRN: learn.layers.LRN.type
- Definition Classes
- API
- val LSTMCell: learn.layers.rnn.cell.LSTMCell.type
- Definition Classes
- API
- val LSTMState: learn.layers.rnn.cell.LSTMState.type
- Definition Classes
- API
- def LSTMTuple[T](output: ops.Output[T], state: LSTMState[T]): LSTMTuple[T]
- Definition Classes
- API
- val Linear: learn.layers.Linear.type
- Definition Classes
- API
- val LogPoissonLoss: learn.layers.LogPoissonLoss.type
- Definition Classes
- API
- val LogSigmoid: learn.layers.LogSigmoid.type
- Definition Classes
- API
- val LogSoftmax: learn.layers.LogSoftmax.type
- Definition Classes
- API
- val LossLogger: learn.hooks.LossLogger.type
- Definition Classes
- API
- 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
- val Map: learn.layers.Map.type
- Definition Classes
- API
- val MapSeq: learn.layers.MapSeq.type
- Definition Classes
- API
- val MaxPool: learn.layers.MaxPool.type
- Definition Classes
- API
- val Mean: learn.layers.Mean.type
- Definition Classes
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- val Model: learn.Model.type
- Definition Classes
- API
- val NaNChecker: learn.hooks.NaNChecker.type
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- API
- val NoClipGradients: learn.NoClipGradients.type
- Definition Classes
- API
- val NoHookTrigger: learn.hooks.NoHookTrigger.type
- Definition Classes
- API
- val OneHot: learn.layers.OneHot.type
- Definition Classes
- API
- val RNN: learn.layers.rnn.RNN.type
- Definition Classes
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- val RNNTuple: Tuple.type
- Definition Classes
- API
- val ReLU: learn.layers.ReLU.type
- Definition Classes
- API
- val ReLU6: learn.layers.ReLU6.type
- Definition Classes
- API
- val Reshape: learn.layers.Reshape.type
- Definition Classes
- API
- val ResidualWrapper: learn.layers.rnn.cell.ResidualWrapper.type
- Definition Classes
- API
- val SELU: learn.layers.SELU.type
- Definition Classes
- API
- val ScalarSummary: learn.layers.ScalarSummary.type
- Definition Classes
- API
- val SequenceLoss: learn.layers.SequenceLoss.type
- Definition Classes
- API
- val Sigmoid: learn.layers.Sigmoid.type
- Definition Classes
- API
- val SigmoidCrossEntropy: learn.layers.SigmoidCrossEntropy.type
- Definition Classes
- API
- val Softmax: learn.layers.Softmax.type
- Definition Classes
- API
- val SoftmaxCrossEntropy: learn.layers.SoftmaxCrossEntropy.type
- Definition Classes
- API
- val Softplus: learn.layers.Softplus.type
- Definition Classes
- API
- val Softsign: learn.layers.Softsign.type
- Definition Classes
- API
- val SparseSoftmaxCrossEntropy: learn.layers.SparseSoftmaxCrossEntropy.type
- Definition Classes
- API
- val Squeeze: learn.layers.Squeeze.type
- Definition Classes
- API
- val Stack: learn.layers.Stack.type
- Definition Classes
- API
- val StackedCell: learn.layers.rnn.cell.StackedCell.type
- Definition Classes
- API
- val StepHookTrigger: learn.hooks.StepHookTrigger.type
- Definition Classes
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- val StepRateLogger: learn.hooks.StepRateLogger.type
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- API
- val StopCriteria: learn.StopCriteria.type
- Definition Classes
- API
- val Stopper: learn.hooks.Stopper.type
- Definition Classes
- API
- val Sum: learn.layers.Sum.type
- Definition Classes
- API
- val SummarySaver: learn.hooks.SummarySaver.type
- Definition Classes
- API
- val TRAINING: learn.TRAINING.type
- Definition Classes
- API
- val TensorBoardConfig: config.TensorBoardConfig.type
- Definition Classes
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- val TensorBoardHook: learn.hooks.TensorBoardHook.type
- Definition Classes
- API
- val TensorLogger: learn.hooks.TensorLogger.type
- Definition Classes
- API
- val TimeHookTrigger: learn.hooks.TimeHookTrigger.type
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- val TimelineHook: learn.hooks.TimelineHook.type
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- val Transpose: learn.layers.Transpose.type
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- API
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