Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.
It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.
Keras is:
- **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
to free you to focus on the parts of the problem that really matter.
Keras focuses on ease of use, debugging speed, code elegance & conciseness,
maintainability, and deployability (via TFServing, TFLite, TF.js).
- **Flexible** -- Keras adopts the principle of *progressive disclosure of
complexity*: simple workflows should be quick and easy, while arbitrarily
advanced workflows should be *possible* via a clear path that builds upon
what you've already learned.
- **Powerful** -- Keras provides industry-strength performance and
scalability: it is used by organizations and companies including NASA,
YouTube, and Waymo. That's right -- your YouTube recommendations are
powered by Keras, and so is the world's most advanced driverless vehicle.
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