Congrats Keras on 10-years! Explore the newly designed Keras website full of resources for developers like Jupyter notebook guides, API docs, and more. → keras.io
TensorFlow 2.19 is released! Explore significant performance enhancements, including bfloat16 support, alongside improved C++ API updates. Read the full release notes for details → goo.gle/3Fmr21R
🔍 Introducing Wake Vision, a new dataset accelerating research & development in TinyML.
Wake Vision, roughly 100x larger, provides two training sets:
♦️ Large prioritizes dataset size
♦️ Quality prioritizes label quality
Learn more → goo.gle/4f3aRmg
💪 Level-up your ML knowledge with MLSysbook.ai, a new open source “textbook.” 📚
Learn how the TensorFlow ecosystem matches up with system engineering concepts like data engineering, model development, optimization, and more!
Get started → goo.gle/4eFKrHd
⚡️ TensorFlow Lite is now LiteRT ⚡
This new name better reflects the trusted runtime's growing capabilities within the ML ecosystem.
Explore the expanded vision of LiteRT, dive into FAQs, & learn how to access all that LiteRT offers → goo.gle/3ZaIIW2
🥳 TensorFlow 2.17 is here 🥳
Highlights of this release and 2.16 include:
✨ CUDA update
✨ Upcoming Numpy 2.0
…and more!
Blog for more info → goo.gle/3y1qLhI
Full release notes → goo.gle/4d4QK6L
🧡 On this 2nd Google I/O special episode of People of AI, host @ashley_oldacre chats with Sachin Kotwani, lead On-Device product manager, about exciting launches at Google I/O, the future of On-Device ML & its impact on how we work.
📺 → goo.gle/3Lhvi2u
🧡 On this special episode of People of AI, host @ashley_oldacre with @matvelloso, VP of ML developer products at Google, and @OfficialLoganK, Product Lead for Google AI Studio share the in-person fun from Google I/O and predict the future of AI.
🎧→ goo.gle/3KZYNWf
Check out all of the latest AI updates, sessions, and workshops from #GoogleI/O in this playlist ➡️ goo.gle/io24-ai-yt
Learn about...
✨ Gemini API for developers
🦾 Gemma open models
📱 Generative AI on mobile and web
🛠️ ML frameworks for GenAI era







