22 lines
848 B
Markdown
22 lines
848 B
Markdown
# Keras Core: a new multi-backend Keras
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Keras Core is a new multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
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## Backwards compatibility
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Keras Core is intend to work as a drop-in replacement for `tf.keras` (when using the TensorFlow backend).
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In addition, Keras models can consume datasets in any format, regardless of the backend you're using:
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you can train your models with your existing tf.data.Dataset pipelines or Torch DataLoaders.
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## Why use Keras Core?
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- Write custom components (e.g. layers, models, metrics) that you can move across framework boundaries.
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- Make your code future-proof by avoiding framework lock-in.
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- As a PyTorch user: get access to power of Keras, at last!
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- As a JAX user: get access to a fully-featured, battle-tested modeling and training library.
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## Credits
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TODO
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