Merge pull request n2cholas#61 from phlippe/patch-1

Adding UvA Deep Learning Tutorials

readme.md

@@ -214,6 +214,7 @@ This section contains papers focused on JAX (e.g. JAX-based library whitepapers,
 - [Writing an MCMC sampler in JAX by Jeremie Coullon](https://www.jeremiecoullon.com/2020/11/10/mcmcjax3ways/) - Tutorial on the different ways to write an MCMC sampler in JAX along with speed benchmarks.
 - [How to add a progress bar to JAX scans and loops by Jeremie Coullon](https://www.jeremiecoullon.com/2021/01/29/jax_progress_bar/) - Tutorial on how to add a progress bar to compiled loops in JAX using the `host_callback` module.
 - [Get started with JAX by Aleksa Gordić](https://github.com/gordicaleksa/get-started-with-JAX) - A series of notebooks and videos going from zero JAX knowledge to building neural networks in Haiku.
+- [Deep Learning tutorials with JAX+Flax by Phillip Lippe](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/JAX/tutorial2/Introduction_to_JAX.html) - A series of notebooks explaining various deep learning concepts, from basics (e.g. intro to JAX/Flax, activiation functions) to recent advances (e.g., Vision Transformers, SimCLR), with translations to PyTorch.
 
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