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1218: Require weight and bias to be AbstractArrays r=CarloLucibello a=oxinabox closes #1199 While in theory someone could be using Dense with weights and biases that are not abstract arrays, I would be surprised. So allowing it is just leaving a food-gun laying around. If it is common then we can instead close #1199 by adding a special constructor for `Number` subtypes that error if they are not integers, or something a long those lines. ### PR Checklist - [x] Tests are added - [x] Entry in NEWS.md I think this is a bug-fix thus the following are not required: - [ ] Documentation, if applicable - [ ] Final review from `@MikeInnes` or `@dhairyagandhi96` (for API changes). Co-authored-by: Lyndon White <lyndon.white@invenialabs.co.uk> Co-authored-by: Lyndon White <oxinabox@ucc.asn.au> |
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README.md
Flux is an elegant approach to machine learning. It's a 100% pure-Julia stack, and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable.
] add Flux
See the documentation or the model zoo for examples.
If you use Flux in your research, please cite our work.