Roadmap 2021/2022

[drahnr]

Bigger work items:

• [x] Recursive Neural Networks / Long Term Short Term Memory #87
• [ ] OpenCL Backend [juice/coaster-nn]
• [ ] Autodiff [juice/coaster-nn]
• [ ] Accuracy enum/marker structs instead of type usage [juice/greenglas/coaster]

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Low hanging fruits:

• [ ] Honour biases [juice] #6
• [ ] Gradient calculation for ND-convolution native backend [coaster-nn]
• [ ] Regression examples [juice-examples]
• [ ] Add preprocessing filters [greenglas]

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The full presentation of November 30th, 2017: bernhard_schuster__rust_machine_learning_with_juice.pdf

[drahnr]

So 2018 was a pretty busy year so far and I am about to change my job, so not as much as I would have wished happened so far.

Another thing I've been eyeing lately is this device https://www.aaeon.com/en/p/iot-gateway-maker-boards-ai-core using its C API https://movidius.github.io/ncsdk/ncapi/ncapi2/c_api/readme.html If somebody is interested I am happy to wrap the SDK in some rust, it would be awesome to integrated this (or something similiar) into coaster-nn.

[drahnr]

2018 long passed, 2019 has gone by too without much action but the work items are still the same :)