Learning Tensorflow 2.0 and TF Eager

I’m just starting out learning basic Tensorflow practices coming from a Pytorch background, specifically learning TF Eager and TF Probabilities. The TF docs seem like a great place to start, but I was wondering if anyone on the forums had some suggestions of good resources for learning Tensorflow (after having gone through Part 1 and Part 2 of Fastai’s Practical Deep Learning for Coders)?

@waydegg can u share any good resources and tips that u have found for picking up tf2.0?

The tutorials they have on the official documentation are good, also just looking/modifying existing kaggle kernels using tf 2.0 has helped as well.