Tensorflow 2.0: models migration and new design https://buff.ly/2zvL9oI Great overview of upcoming TF changes. Personally I agree with the author and I'm not a huge fan of eager mode either. Is it just because I'm used to thinking in terms of a graph? Is eager really superior?
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Could part of the middle ground be something akin to a type system for layers/blocks, to both aid composition and automatically check for "correct" compositions of high level abstractions?
We have that, and it's a lot more advanced than static type checking. Any Keras model that compiles will run. If it's only made of built-in layers.
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And compilation errors (assumption checks) are designed to produce helpful and actionable error messages
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