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Title: Keras 3: Multi-backend deep learning

Description: Keras 3 runs the same model code on any supported backend, including JAX, PyTorch, and TensorFlow. Learn what's new, how backends work, and how to migrate.

direct link

Domain: keras.io

authorKeras Team

Links:

https://keras.io/
About Kerashttps://keras.io/about/
Getting startedhttps://keras.io/getting_started/
Developer guideshttps://keras.io/guides/
Code exampleshttps://keras.io/examples/
Keras 3 API documentationhttps://keras.io/api/
Keras 2 API documentationhttps://keras.io/2.18/api/
KerasTuner: Hyperparam Tuninghttps://keras.io/keras_tuner/
KerasHub: Pretrained Modelshttps://keras.io/keras_hub/
https://keras.io/
GET STARTEDhttps://keras.io/getting_started/
GUIDEShttps://keras.io/guides/
APIhttps://keras.io/api/
EXAMPLEShttps://keras.io/examples/
KERAS HUBhttps://keras.io/keras_hub/
KERAS RShttps://keras.io/keras_rs/
KERAS TUNERhttps://keras.io/keras_tuner/
starter guidehttps://keras.io/guides/distribution/
this guidehttps://keras.io/guides/distribution/
KerasCVhttps://keras.io/api/keras_cv/
KerasHubhttps://keras.io/api/keras_hub/
here's the linkhttp://keras.io/guides/custom_train_step_in_jax/
functional programminghttps://en.wikipedia.org/wiki/Functional_programming
herehttps://github.com/keras-team/keras/issues/18467
migration guidehttps://keras.io/guides/migrating_to_keras_3/
this migration guidehttps://keras.io/guides/migrating_to_keras_3/
Here's an examplehttp://keras.io/guides/distributed_training_with_tensorflow/
Here's an examplehttp://keras.io/guides/distributed_training_with_torch/
the following guidehttps://keras.io/guides/distribution/
Here's an examplehttp://keras.io/guides/distributed_training_with_jax/
Mojohttps://www.modular.com/mojo

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