Keras
A deep learning API designed to be readable, now running on top of TensorFlow, PyTorch or JAX.
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Link checked 19 September 2026: this site responded and still names the product.
About Keras
What it is
Keras is a high-level deep learning API. Since version 3 it runs on TensorFlow, PyTorch or JAX as the backend, so the same model code is portable between them, and it ships companion projects for pretrained models, recommenders and hyperparameter tuning.
Why it's different
It was built on the premise that the bottleneck in machine learning is the human reading the code, and that premise aged well: a Keras model is short enough to hold in your head, which matters more than it sounds when debugging. Backend portability is the newer argument and a genuinely strong one. The trade is the usual abstraction trade - anything unusual means dropping to the backend, and at that point you are writing the framework's code anyway.
How people use it
Learning deep learning without fighting boilerplate. Standard architectures where the research is not the point. Teams that want to keep options open between frameworks. Prototype in Keras and drop to the backend only where you actually need to, because mixing the two from the start loses the readability you chose it for.
Written by the n3os team. We are not affiliated with Keras.
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