Introducing TensorFlow Hub: A Library for Reusable Machine Learning Modules in TensorFlow

TensorFlow Hub is a platform to publish, discover, and reuse parts of machine learning modules in TensorFlow. By a module, we mean a self-contained piece of a TensorFlow graph, along with its weights, that can be reused across other, similar tasks. By reusing a module, a developer can train a model using a smaller dataset, improve generalization, or simply speed up training.

Modularization and publishing are how computer science advances. It's good to see efforts in that direction for ML; most ML code today is not particularly reusable.


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