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.
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.
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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.
Jun 18, 2015 ， For now, we don't have a paper, so you can simply cite the Github repo. Here's an example. 4 Faur, dferdinand21, Jimut123, and ibnuazam reacted with thumbs up ...
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Chollet, F. & others, 2015. Keras. Available at: https://github.com/fchollet/keras. Citation in Bibtex format.