TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

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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
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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
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🔍 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
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💪 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
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📣 TensorFlow 2.18 is here! With enhanced performance and compatibility, this release brings support for NumPy 2.0, CUDA updates for Ada-Generation GPUs, and transitions TFLite's codebase to LiteRT. Read the full release notes ↓ blog.tensorflow.org/2024/10/…
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⚡️ 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
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🥳 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
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🧡 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
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🧡 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
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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
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⚡️Create sharper, more powerful applications using #GoogleIO's AI/MLplaylist → goo.gle/io24-ai-yt 🔎 Explore gen AI's real-world uses 🪄See how Large Language Models are changing work 💡Gather inspiration for integrating ML into your projects
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Ready to grow your skills on the latest and greatest of all things Google? The dev keynote at #GoogleIO is now LIVE! Don't miss out 🔴➡️ goo.gle/3JZoOVb
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🎉 The #GoogleIO keynote is LIVE! Tune in for the latest launches, news, and AI updates ➡️ goo.gle/3ydMX84
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Get the latest updates at #GoogleIO from @jocarrasqueira, @lmoroney, and @random_forests!
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🤔 What’s new in Google AI? Dive into our newest AI tools and get updates on the Gemini API, Google AI Studio, Gemma, @Kaggle Models, and Google's open-source libraries like Keras and JAX. Save the session to My I/O here ➡️ goo.gle/4bb8o84
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Anyone else counting down to I/O? Don’t forget to register and tune in on May 14 → goo.gle/io24-x
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⏩ Get it done quickly with #GoogleAIStudio. Joana, Head of Community on the AI Developer Relations team, shares why she’s most excited for Google AI Studio at #GoogleCloudNext2024. → goo.gle/4dtaUs3
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🎪 #GoogleIO is almost here! Register to get the latest AI updates and access new learning content for developers to build with AI. The keynote kicks off on May 14th at 10am PT. Register now ➡️ goo.gle/io24-x
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☁️ ⏭️ At #GoogleCloudNext2024, Senior Tech Writer Joe Fernandez dives into the innovative Gemini API Function Calling, simplifying API usage with plain language queries. Discover how the Gemini API streamlines data retrieval and analysis! → goo.gle/3WtBpYp
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🤿 Dive into Visual Blocks from Google! It's an open-source graphical programming framework for rapid prototyping with ML. Learn how to unleash its power in real-world examples → goo.gle/3y9RZ5v #ML #VisualBlocks
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