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The Keras ecosystem offers many on-ramps to JAX. Use our classic and well-loved API patterns such as `model.fit(…)` to author and train models using JAX. Want to start with a pre-trained model? Try KerasHub, our catalog of 100+ model architectures with support for thousands of HuggingFace checkpoints. Fine-tune and optimize them using LoRA and qLoRA with JAX (or your choice of backend). We’ll also introduce Keras Recommenders, the latest addition to the Keras ecosystem.
Resources:
Keras → https://goo.gle/4d9t3LL
Keras Hub → https://goo.gle/4iYQEQp
Keras Recommenders → https://goo.gle/4mr8YoD
Keras on Kaggle → https://goo.gle/44P06CT
Keras on Hugging Face → https://goo.gle/42RLuBd
Keras developer guides → https://goo.gle/437YNMJ
Speakers: Divyashree Sreepathihalli , Monica Song, Fabien Hertschuh
Check out the AI session track from Google I/O 2025 → https://goo.gle/io25-ai-yt
Check out all of the sessions from Google I/O 2025→ https://goo.gle/io25-sessions-yt
Subscribe to Google for Developers → https://goo.gle/developers
Event: Google I/O 2025
Products Mentioned: AI/Machine Learning Read More Google for Developers
