Worked on updating the Mixture Density Network (MDN) example in the keras-team/keras-io repository to ensure compatibility with Keras V3. Migrated the codebase from keras-core to the keras package and reconfigured dependencies and backends to utilize JAX, aligning the example with Keras’s new multi-backend architecture. This update focused on maintainability and reliability for users transitioning to the latest version of Keras. The work involved validating the MDN example’s execution under the new architecture, leveraging deep learning and machine learning expertise with Python and JAX to ensure consistent performance and ease of use for the open-source community.