What Coursera's Introduction to TensorFlow 2.0 taught me

This blog post contains all my learnings from Google's Laurence Moroney's nice Coursera course named Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning. It's a great news that Google developers have released the alpha version of TensorFlow 2.0 (at the time of writing this post) which now focuses more on usability, clarity and flexibility just like Keras. What this means is that you can now use Keras inside TensorFlow itself in addition to all those advanced functions that TensorFlow offers. Furthermore, 2.0 has eager execution enabled by default which means you no longer need to create a session and run the computational graph inside that. Everything is dynamic just like PyTorch now.