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Nx-powered Neural Networks

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WIP: The goal is to replace `*_unroll` entirely with this more general `scan` and to also use it to add both `Axon.scan` and `Axon.bidirectional` combinators

Hello, @seanmor5 I had put up a bidirectional example in the Nx Slack channel. Currently planning out the implementation and looking at the use cases for it as follows: Tf/Keras...

It is just confusing, and I don't like the implicit behavior. It is easy enough for Axon to correctly do the reshape logic even with `nil` dimensions

Added a really simple Exploratory Analysis section and configuration module. All hanging functions were put inside modules. The livebook can run to completion on my CPU.

The notebook presents an approach to using axon_onnx to parse an ONNX model into an Axon model. The notebook could be moved to axon_onnx, however, I think it belongs with...

With the new container API, we can support structs. Right now the Axon.Updates API uses a tuple to represent optimizer state. It's not a bad, but I think it's better...

kind:chore
area:optimizers

Hello, This is the initial implementation of the LSTM NER Text Classification. I've worked on the live-book & example for the model.

We can implement table and mermaid displays in a separate Axon.Display module: - [x] `Axon.Display.as_table` - [ ] `Axon.Display.as_mermaid` And potentially many others :)

Resolves #169 Still a few API considerations/questions: 1. Should we offer an explicit `:parameters` option on layer creation? 2. How should we handle partial parameter sharing, e.g. if I just...

And some minor changes