Next steps for notebooks and tutorials

[MikeInnes]

With #59 we have good infrastructure for generating notebooks. There are a couple more steps we need:

• Content. This could be taken from existing open-source tutorials (Tutorials #68) and we should also port existing notebooks like these and these.
• Auto build notebooks – we can do this on our CI, like documenter, and push them to a branch of this repo.
• JuliaBox – really just the same as the above, but push them to the JuliaBoxTutorials repo, which gets synced to JuliaBox users' drives.
• Flux Website – we should have a tutorials section on the website, built from these notebooks. We'll need to build HTML from the notebooks we have (ideally with niceties like ToC, but that's secondary) and push them to the Flux website's github pages.

Useful resources:

• PyTorch tutorials
• MXNet – The Straight Dope
• Knet tutorials and examples

[jumerckx]

I've tried to implement PyTorch's seq2seq translation tutorial (for the model itself I've also looked at Fast.ai's nmt lesson).

I've written my process down in this notebook

The model's performance is pretty bad and I'm not sure why that is, but I believe this could perhaps be resolved quickly by someone with more knowledge and experience.

Thanks
Jules

[MikeInnes]

That looks great. Any chance you can put it up as a PR in a Literate.jl format? Then we can look at debugging performance.