#Keras 3

Keras 3 is an adaptable deep learning framework compatible with JAX, TensorFlow, and PyTorch. It enhances model building across fields like computer vision and NLP with superior flexibility and performance. This framework ensures effortless scaling from personal setups to datacenter environments. Users benefit from easy installation via pip and improved GPU performance through CUDA integration. Keras 3 supports existing tf.keras code and extends custom components, leveraging each backend's distinct capabilities for robust machine learning solutions.

The transition from Keras Core to Keras 3 marks a significant step in AI development, consolidating all development in the keras-team/keras repository. This move ensures the preservation and acknowledgment of initial contributions, facilitating seamless multi-backend support. The legacy tf.keras codebase now resides in keras-team/tf-keras. Stay informed on the latest in multi-backend machine learning as Keras 3 embarks on its new era, honoring past work while exploring new frontiers in AI.