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  1. Introducing Keras 1.0

    Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.

    But continuous improvement isn't enough. A year of developing Keras, using Keras, and getting feedback from thousands of users has taught us a lot. To …

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  2. Keras, now running on TensorFlow

    The purpose of Keras is to be a model-level framework, providing a set of "Lego blocks" for building Deep Learning models in a fast and straightforward way. Among Deep Learning frameworks, Keras is resolutely high up on the ladder of abstraction.

    As such, Keras does not handle itself low-level tensor …

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