Keras is so good that it is effectively
cheating in machine learning, where even Tensorflow tutorials can be replaced with
a single line of code. (which is important for iteration; Keras layers are effectively Lego blocks). A simple read of the Keras examples (
https://github.com/fchollet/keras/tree/master/examples) and documentation (
https://keras.io/getting-started/functional-api-guide/) will let you reverse-engineer most the
revolutionary Deep Learning clickbait thought pieces.
It's good to see that backward compatability is a priority in 2.0, since it sounds like a lot had changed.