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Hi, Thanks so much for releasing the code! Unfortunately, the code seems untested, as there are many typo's which raise runtime errors (e.g. `uitls` and `datset` throw exceptions). Could you provide i…
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I found the form of convolution in network.py is 2d. Can it convert a 3d model?
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**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…
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@titu1994 Thank you for your code! I want to use the non-local resnet model for video classification, as in the paper. The author emphasizes that the convolution operation should be 3-d convolution, b…
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I am trying to implement Gail to a 3D environment but I noticed that it forces the observation shape to be 1D. Is there a specific reason for this? I know the examples in the paper use very condense s…
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While this works:
Conv((1,1,1), 1=>1)(rand(1,1,1,1,1)) #3D convolution
This throws an error:
Conv((1,1,1,1), 1=>1)(rand(1,1,1,1,1,1)) #4D convolution
#ERROR: MethodError: no meth…
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Can you please tell me which dimension features it is extracting?
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I'm trying to understand the meaning and usage of [this signature](https://github.com/FluxML/NNlib.jl/blob/master/src/conv.jl#L41) in the new convolution interface:
```
conv!(y::AbstractArray{T,3…
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Hi, I am interested in that how to use the existed MatConvnet to realize 3D-CNN to learn spatio-temporal Features from Video sequence, as described in following papers? the key step is how to realize…
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## 🚀 Feature
3D data gains more and more popularity inside the deep learning community. As a consequence it would be great to have a unified 3D NMS and 3D ROI Align for future and current projects li…