Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch. Effortlessly build and train models for computer vision.
Keras resources. This is a directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library.
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Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs.
Nov 3, 2022 ， This GitHub repository is now deprecated -- All Keras Applications models have moved into the core Keras repository and the TensorFlow pip package.
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This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications).
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This is a simple fix release that moves the legacy _tf_keras API directory to the root of the Keras pip package.
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Two new algorithms called Double Sarsa and Double Expected Sarsa that are shown to be more robust than their single counterparts when rewards are stochastic.
Jan 15, 2018 ， Keras code and weights files for popular deep learning models. - Releases ， fchollet/deep-learning-models.
Modular Natural Language Processing workflows with Keras - GitHub
github.com › keras-team › keras-hub
KerasNLP is a natural language processing library that works natively with TensorFlow, JAX, or PyTorch. KerasNLP provides a repository of pre-trained models and ...
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Chollet, F. & others, 2015. Keras. Available at: https://github.com/fchollet/keras. Citation in Bibtex format.