Artem Sereda updated the Mixture Density Network (MDN) example in the keras-team/keras-io repository to ensure compatibility with Keras V3. He migrated the codebase from keras-core to the keras package and reconfigured dependencies and backends to use JAX, aligning the example with Keras’s new multi-backend architecture. This work focused on maintainability and reliability for users transitioning to the latest Keras version. Artem applied his expertise in Python, Deep Learning, and Machine Learning to validate that the MDN example runs seamlessly under Keras V3, demonstrating a solid understanding of modern deep learning frameworks and backend integration within open-source projects.