ExplainableAI.jl
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LRP rule coverage for Flux layers
This issue keeps track of which Flux layers in the model reference got LRP implementations.
Basic layers
- [x]
Dense - [x]
flatten
Convolution
- [x]
Conv - [x]
DepthwiseConv - [x]
ConvTranspose - [x]
CrossCor
Pooling layers
- [x]
AdaptiveMaxPool - [x]
MaxPool - [x]
GlobalMaxPool - [x]
AdaptiveMeanPool - [x]
MeanPool - [x]
GlobalMeanPool
General purpose
- [ ]
Maxout - [ ]
SkipConnection - [ ] #10
- [ ]
Bilinear - [ ]
Diagonal - [ ]
Embedding
Normalisation & regularisation
- [ ]
normalise - [ ]
BatchNorm - [x]
dropout - [x]
Dropout - [x]
AlphaDropout - [ ]
LayerNorm - [ ]
InstanceNorm - [ ]
GroupNorm
Upsampling layers
- [ ]
Upsample - [ ]
PixelShuffle
Recurrent layers
- [ ]
RNN - [ ]
LSTM - [ ]
GRU - [ ]
Recur