`Flux`

Flux is a module

Symbols

Name	Kind
`DepthwiseConv`	`function`
`GRU`	`function`
`GRUv3`	`function`
`LSTM`	`function`
`RNN`	`function`
`cpu`	`function`
`dropout`	`function`
`f32`	`function`
`f64`	`function`
`frequencies`	`function`
`gpu`	`function`
`rng_from_array`	`function`
`testmode!`	`function`
`trainmode!`	`function`
`AdaptiveMaxPool`	`struct`
`AdaptiveMeanPool`	`struct`
`AlphaDropout`	`struct`
`BatchNorm`	`struct`
`Chain`	`struct`
`Conv`	`struct`
`ConvTranspose`	`struct`
`CrossCor`	`struct`
`Dense`	`struct`
`Dropout`	`struct`
`Embedding`	`struct`
`GlobalMaxPool`	`struct`
`GlobalMeanPool`	`struct`
`GroupNorm`	`struct`
`InstanceNorm`	`struct`
`LayerNorm`	`struct`
`MaxPool`	`struct`
`Maxout`	`struct`
`MeanPool`	`struct`
`PairwiseFusion`	`struct`
`Parallel`	`struct`
`PixelShuffle`	`struct`
`SamePad`	`struct`
`SkipConnection`	`struct`
`Upsample`	`struct`

Show unexported

Source files

Backlinks

The following pages link back here:

Custom learning tasks, Image segmentation, Keypoint regression, Siamese image similarity, Tabular Classification, TimeSeries Classification, Variational autoencoders, tsregression

FastAI.jl , blocks/continuous.jl , encodings/onehot.jl , learner.jl , training/discriminativelrs.jl , training/lrfind.jl , training/paramgroups.jl , FastTabular.jl , models.jl , FastVision.jl , encodings/keypointpreprocessing.jl , encodings/onehot.jl , models.jl , models/Models.jl , models/blocks.jl , models/layers.jl , models/unet.jl , models/xresnet.jl , Flux.jl , cuda/cuda.jl , cuda/cudnn.jl , deprecations.jl , layers/recurrent.jl , losses/Losses.jl , optimise/optimisers.jl , train.jl , FluxTraining.jl , callbacks/hyperparameters.jl , callbacks/logging/logger.jl , learner.jl , testutils.jl , training.jl