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`FluxTraining`

FluxTraining is a module

Symbols

Name	Kind
`AbstractCallback`	`abstract type`
`LearningRate`	`abstract type`
`GarbageCollect`	`function`
`SmoothLoss`	`function`
`ToGPU`	`function`
`accuracy`	`function`
`epoch!`	`function`
`fit!`	`function`
`loadmodel`	`function`
`onecycle`	`function`
`savemodel`	`function`
`step!`	`function`
`throttle`	`function`
`FluxTraining`	`module`
`CancelEpochException`	`struct`
`CancelFittingException`	`struct`
`CancelStepException`	`struct`
`Checkpointer`	`struct`
`ConditionalCallback`	`struct`
`CustomCallback`	`struct`
`EarlyStopping`	`struct`
`Learner`	`struct`
`LogHistograms`	`struct`
`LogHyperParams`	`struct`
`LogMetrics`	`struct`
`LogTraces`	`struct`
`LogVisualization`	`struct`
`Loss`	`struct`
`Metric`	`struct`
`Metrics`	`struct`
`MetricsPrinter`	`struct`
`ProgressPrinter`	`struct`
`Recorder`	`struct`
`SanityCheck`	`struct`
`Scheduler`	`struct`
`StopOnNaNLoss`	`struct`
`TensorBoardBackend`	`struct`
`ToDevice`	`struct`
`Traces`	`struct`

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Backlinks

The following pages link back here:

Performant data pipelines, Tabular Classification, Variational autoencoders

FastAI.jl , interpretation/learner.jl , learner.jl , training/discriminativelrs.jl , training/lrfind.jl , training/utils.jl