TensorFlow
@TensorFlow

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

 Mountain View, CA
tensorflow.org
Joined February 2011
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 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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🤔 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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🌟 Exciting updates for the Gemma open models family unveiled at #GoogleCloudNext! 🚀 Discover the latest advancements in AI models and their applications in transforming industries → goo.gle/4dmxqTn
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🧡 In the latest People of AI episode, we hear from @fchollet, the innovative #AI researcher at Google and the genius behind Keras. Join @ashley_oldacre and @gusthema as they delve into Keras 3's creation, Gemma/Kaggle integration, and more! → goo.gle/3xDz16V
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Do you follow us on LinkedIn? 📚 Gain access to educational resources to master TensorFlow 💻 Learn framework concepts and components ...and more! Check it out → goo.gle/tensorflow-linkedin
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🧠 In this episode, @ashley_oldacre chats with Kathleen Kenealy, a Google DeepMind engineer known for her work on large language models. Uncover insights into Gemma, Google's state-of-the art open models, and its impact on the AI community. 🎧 → goo.gle/49vgPd7
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🤖💻 On this episode of People of #AI we dive into the latest in Google AI for #developers. Jeanine Banks, Head of Developer Relations at Google, looks back on her career journey with @ashley_oldacre & chats about Gemini, Gemma, Project IDX & more. 🎧→ goo.gle/3PxqgS9
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Everyone is invited! 💌 Join us online May 14th at #GoogleIO to learn about Google's latest developer products, technologies, and ways to engage with the developer community. Register here ✨➡️ goo.gle/io24-x
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We're covering Applied ML with KerasCV and KerasNLP in a new series! 📹 You'll get a deep dive on using KerasCV, find overviews, how-to’s, and resources to apply ML to your projects. Check out the playlist → goo.gle/AppliedMLwithKeras
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🏥🤰 This week’s People of #AI explores investing in AI hardware for health. Meet @indiranegi, whose work with the @gatesfoundation improves maternal & newborn health through investment in innovative tools that reduce risk during pregnancy & labor. 👂 → goo.gle/48rmm3S
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🪄👩🏾‍💻🏗️ Simplify the process of pretraining and fine-tuning transformer models from scratch. This step-by-step guide breaks down how KerasNLP helps to make building state-of-the-art text processing models easier. ➡️ goo.gle/3wf8j3M
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People of #AI Season 3 is here with hosts @ashley_oldacre & @gusthema 🧡🤖 Our first episode with high school student @AdritRao, on building confidence & solving healthcare problems using AI & impactful apps, is live! 📖 → goo.gle/3wjVAN6 🎧 → goo.gle/49v6bmH
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When you connect with other devs, your potential is limitless! 🌟 Machine Learning devs, name someone who has impacted you during your ML journey. Tag them in our replies to spread the love ⬇️
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🤩🧡🕸️ Announcing TensorFlow-GNN (TensorFlow Graph Neural Networks) Release Version 1.0! Learn all about the production-tested library for building GNNs that supports both modeling and training in TensorFlow. → goo.gle/3uqBOix
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Save and load complex models with exotic assets and state elements. 🤓💡🔶 Review advanced methods that can be customized in Keras saving for your layers and models. Check out this tutorial for all the variables and details. 👀 → goo.gle/3SmLhiX
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🔎🖼 Reach state-of-the-art accuracy on both imagenet and common image classification transfer learning tasks with the Keras implementation of EfficientNet. Explore EfficientNet's family of models and start training with this classification notebook. ➡️ goo.gle/3vKdZT3
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Train a binary classifier to perform sentiment analysis on an IMDB dataset 🤓 This text-classification-from-scratch #ML tutorial demonstrates how to train a sentiment analysis model to classify negative & positive movie reviews. Get the full exercise 👉🏼 goo.gle/4b3SMnx
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Prevent overfitting in neural networks and improve classification models with these common regularization techniques: 🧡 Reduced network capacity 🧡 Increased training data 🧡 Weight regularization 🧡 Dropout Explore the tutorial to learn more ➡️ goo.gle/4aWiDO3
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🤔 Need some guidance on building your custom TensorFlow models with the ability to convert to TF Lite? We’ve got you covered! Review this helpful guide for model design constraints, development, evaluation, optimization, and next steps! 🤩➡️ goo.gle/3vlOiZ7
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🧠 Learn to create & run TFX pipelines to validate input data & create an ML model 👉🏾 Create a pipeline to analyze dataset & generate a preliminary schema 👉🏾 Create a secondary pipeline to train an ML classification model ... & more with this tutorial → goo.gle/3U2OHdh
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Train a neural network model to classify images of clothing using the Fashion MNIST dataset 👗👕👢 Learn to use images to train the network, evaluate how accurately the network learned to classify, & make a prediction about a single image in this guide → goo.gle/48oExYM
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Did you miss this year's #WIMLsymposium workshops? We've got you covered! 🤩 ⭐️ Keras: Shortcut to AI Mastery ⭐️ Prototype ML with Visual Blocks ⭐️ Unlock the Power of Generative AI ⭐️ Deploying ML Models to Mobile Devices ... and more! Watch here → goo.gle/3GSzKCB
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🎉 #DevFest is here, and we are so excited to dig into some of our AI on Cloud topics such as Generative AI and Vertex AI! 🤝 Bring your passion and connect with your local devs by attending an event near you. → goo.gle/3Rr0y3j
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AI solutions from Build with Google AI help you to navigate the complexities of the ever-evolving dev ecosystem. 💙🛠️ Want to explore Gemini or get the latest in GenAI? It’s all here. Tune in to this #WIMLsymposium lightning talk to learn more. → goo.gle/3RRYH7q
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AI-enabled 3D motion analysis tech helps bridge the gap between watching a tutorial & performing a skill. 🏌🏾👀 Watch @SportsboxAi Founder & CEO @jeehaeda discuss revolutionizing learning skills through #AI tech, in this #WIMLsymposium lightning talk. → goo.gle/4aGm1wu
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🤓💡 Learn how TensorFlow Serving (TF Serving) & Google Kubernetes Engine (GKE) serve GenAI model, Stable Diffusion, with online deployment. How can Stable Diffusion be decomposed into the Text Encoder, Diffusion Model, & Decoder? Dive into the details → goo.gle/3vbGx7W
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🔶 Get started in ML 🏆 Join competitions 🤝🏽 Find your community ⚡️ And more in this #WIMLsymposium lightning talk! Learn about the @Kaggle platform from @andradavulpee & join one of the biggest online communities of data scientists & AI developers. → goo.gle/3tAbvG9
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⚡️☁️ Learn all about Google’s efficient and versatile custom accelerator for advancing #ML and #AI. 🧡 Explore Cloud TPU capabilities, recent use cases, and more in this #WIMLsymposium lightning talk → goo.gle/48JkxzR
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Learn how to use Simpleperf and visualize the results of TFLite’s memory arena with this case study. 🔶➡️ goo.gle/3TGFzui Get the benefit of low memory usage with little additional overhead by optimizing performance of the memory arena initialization.
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🌍 We’re so excited to see GDEs and devs connecting IRL at DevFest! Join them and learn how to bring the power of machine learning to apps and workflows with: ▪️ Generative AI ▪️ MediaPipe ▪️ SimpleML ▪️ MakerSuite Register today! → goo.gle/3Rr0y3j
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We’ve all been there 🙋 Discover the latest technology and connect with fellow devs at a DevFest near you! → goo.gle/3Rr0y3j
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☁️🤖🔧 Explore the latest in Generative AI with Vertex AI in this #WIMLsymposium lightning talk. Learn about using the latest LLMs (now including Gemini), Jump Start Solutions for doc summarization, & how to build a platform experience with Duet #AI → goo.gle/3v5Zqcd
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🏰 Feeling like a knight in coding armor, slaying bugs! 🗡️ One of the best parts of DevFest is exchanging knowledge with fellow devs. You don’t want to miss it! Join today → goo.gle/3Rr0y3j
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