Website Homezine reports that after 5 months of effort, Keras 3.0 now fully supports TensorFlow, JAX, and PyTorch frameworks, introduces new large-model training and deployment features, and maintains high backward compatibility with Keras 2.0. This provides deep learning developers with more choices and tools, laying a more solid foundation for future deep learning applications.