Build and train deep learning models for various applications like image and language processing.
From the README
pip install keras --upgrade
- Write custom components (e.g. layers, models, metrics) that you can use in low-level workflows in any framework.
- You can take a Keras model and train it in a training loop written from scratch in native TF, JAX, or PyTorch.
- You can take a Keras model and use it as part of a PyTorch-native Module or as part of a JAX-native model function.
- Make your ML code future-proof by avoiding framework lock-in.
- As a PyTorch user: get access to power and usability of Keras, at last!
- As a JAX user: get access to a fully-featured, battle-tested, well-documented modeling and training library.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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keras has 64.2k stars on GitHub. It has been forked 19.7k times. keras is written mainly in Python. It has been in active development since 2015. keras is available under the Apache-2.0 license. Its main topics are data-science, deep-learning, jax, machine-learning.
What is keras?
Deep Learning for humans
Is keras open source?
keras is an open-source project. It is released under the Apache-2.0 license.
Is keras free?
Yes. keras is free and open source — you can use, modify and self-host it.
What license does keras use?
keras is available under the Apache-2.0 license.
What language is keras written in?
keras is written mainly in Python.
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