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.
Comments
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.
Note that there are breaking changes, and it seems the docs online already point to the new, 2.0 version.
So if you are relying on the docs to edit old code, you may become a teensy bit frustrated!