TensorFlow (@TensorFlow) | Robocrunch.Net

TensorFlow @TensorFlow

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

Tweets by TensorFlow

🚀Deploying advanced ML technology to serve customers and business needs requires a rigorous approach and production-ready systems. See why MLOps is important for any product, and how TFX helps make it real with @robert_crowe at #GoogleIO. Watch now → https://t.co/7kMSc6i8pN

Shared by TensorFlow at 5/12/2022

The Machine Learning adventure continues! Visit the ML/AI zone to take our new learning paths and demos, go musical fishing, chat with our team, and more. 🐙 Enter here → https://t.co/2TZCezsS7R #GoogleIo

Shared by TensorFlow at 5/12/2022

Easier data preprocessing with Keras! @fchollet walks you through the new Keras Preprocessing Layers API and how to do synchronous preprocessing as part of your data pipeline. 🆕 At #GoogleIO → https://t.co/W5Td5jHrm6

Shared by TensorFlow at 5/12/2022

📢 We announced Counterfactual Logit Pairing at #GoogleIO! CLP is a new technique in the TF Model Remediation Library that lets you build more inclusive systems. Learn more → https://t.co/ZOagXTHh5m

Shared by TensorFlow at 5/12/2022

✨ From new models to performance improvements, Web ML has had exciting updates since last year's #GoogleIO! Join @jason_mayes to learn what's new for TensorFlow.js developers. → https://t.co/XS1bR04Rtd

Shared by TensorFlow at 5/12/2022

Deploy a custom ML model to mobile 📲 In this #GoogleIO session you'll learn how to: 🟠 Integrate ML in your mobile apps 🟠 Build custom TensorFlow Lite models 🟠 Use TensorFlow Lite converter ...and more! Watch now → https://t.co/lKAwSsmGbl

Shared by TensorFlow at 5/12/2022

ML is more than just building models, and we're here to ensure developers are set up for success at every step of the pipeline. See what we've been up to at #GoogleIO → https://t.co/zXcILuuqJb

Shared by TensorFlow at 5/11/2022

Apply responsible AI principles when building remote sensing datasets! In this #GoogleIO workshop, you'll learn how to apply responsible AI frameworks while making decision with large-scale social benefit in mind. 🌎🙌 → https://t.co/xGEKfmhn2u

Shared by TensorFlow at 5/11/2022

🪸🐠 Protecting ecosystems with ML. Watch how we teamed up with @CSIRO and the @kaggle community to help protect the Great Barrier Reef with #MachineLearning for generations to come. Learn more → https://t.co/EBbnzXj6Es #GoogleIO

Shared by TensorFlow at 5/11/2022

Enter the Learning Lab to explore: 💻 Customizing ML Models 💻 Product Fairness Testing 💻 Running TFLite models with Coral Edge TPUs ...and more codelabs! Part of #GoogleIO → https://t.co/Xy2FN8TW5M

Shared by TensorFlow at 5/11/2022

Fresh from Google research - a new #madeWithTFJS ML model is out! 📸 Check our new Portrait Depth API for real time portrait depth estimation and use it to generate 3D photos, AR effects, image relighting and more. → https://t.co/2o6iNmnZ66

Shared by TensorFlow at 5/10/2022

🤯 Can you believe #GoogleIO is only 1 week away?! From sessions on #TFJS to #Keras, you're not going to want to miss this → https://t.co/sRY00F2nqk

Shared by TensorFlow at 5/4/2022

Have you ever thought: what do transformer models see? Sayak and Aritra published some tools to help you with exactly that! Congratulations to #TFCommunitySpotlight Winners, @RisingSayak (ML GDE) and @ariG23498 🏅 → https://t.co/yGHWdht4dB

Shared by TensorFlow at 5/3/2022

New tutorial! Learn how to use BERT and TF Ranking to improve the performance of your ranking models. Learn more → https://t.co/B2vFYeUXuC

Shared by TensorFlow at 4/27/2022

Networking neurons together allows them to learn complex patterns and perform tasks like computer vision or natural language processing. Learn the principles of neural networking with @lmoroney in this episode of AI for Anyone → https://t.co/O2gInzytbH

Shared by TensorFlow at 4/25/2022

humans computers 🤝 neural networks @lmoroney dives into artificial neurons and how they can give desired outputs in the new show AI for Anyone → https://t.co/L7u60CqmFj

Shared by TensorFlow at 4/22/2022

🏅 Congrats to #TFCommunitySpotlight Winner Sayak Paul (ML GDE)🏅 The project open-sources 16 DeiT models (classifiers + feature extractors), provides their implementations, code for running inference, fine-tuning, and a tutorial to top it all up. → https://t.co/FQ4zjdwuBU

Shared by TensorFlow at 4/20/2022

🪄🔮 What is machine learning and is it magic?! Get a crash course on ML in the second episode of AI for Anyone with @lmoroney → https://t.co/oQegdcXMqE

Shared by TensorFlow at 4/20/2022

Check this #MadeWithTFJS demo by @AndreasPSteiner who combines 2 ML models, 1 for text, 1 for image recognition, allowing you to calculate similarity between the image and text phrases live in the browser! → https://t.co/k6vXqjm0Bd

Shared by TensorFlow at 4/19/2022

🤔 Where is artificial intelligence on the Gartner Hype Cycle and how does the world perceive AI? Learn that and more in the new series AI For Anyone with @lmoroney → https://t.co/OM4XBt7H2k

Shared by TensorFlow at 4/19/2022

Want to train models for on-device inference without gathering any sensitive user data? Learn about Federated Reconstruction for matrix factorization and how to use it with TensorFlow Federated (TFF) → https://t.co/nK4gtUMyGN

Shared by TensorFlow at 4/19/2022

TensorFlow 2.9.0-rc0 is here! The newest release has added major features and improvements to #Keras, #TFLite, and more. Check it out ↓ https://t.co/olwToR3bS6

Shared by TensorFlow at 4/18/2022

Learn how a TensorFlow Lite based solution for FPGA prototyping, developed by @tensilai, can facilitate the deployment of deep learning models into edge devices!

Shared by TensorFlow at 4/18/2022

👏🌏 From Summer of Code to Kaggle Community Competitions, let’s see what achievements #ML communities have accomplished so far this year from all around the globe. Check it out → https://t.co/yWNv0IbHCQ

Shared by TensorFlow at 4/15/2022

Take a high-level look at machine learning in production applications! Learn more about TFX, MLOps, Beam and Dataflow → https://t.co/57Dwa3n01w

Shared by TensorFlow at 4/15/2022

Try out video classification on your own GIFs with this Colab notebook. https://t.co/NfI5Q3OBHW

Shared by TensorFlow at 4/14/2022

📣 Announcing MoViNet, a new video classification model that can recognize 600 human actions (like pushups) in real time! Learn how to use and customize it on Android, Raspberry Pi, and Colab here → https://t.co/sspruQRMAh

Shared by TensorFlow at 4/14/2022

Learn how to build an on-device recommendation model using the adaptive on-device recommendation framework based on TensorFlow Lite! → https://t.co/A2nwVvuyz5

Shared by TensorFlow at 4/12/2022

Check out two popular retrieval models for TensorFlow Recommenders: ☝️ item-to-item recommendation ☝️ sequential recommendation Learn more → https://t.co/fK4cpfBSaE h

Shared by TensorFlow at 4/5/2022

Gradient boosted trees are often the best tool for tabular data and now, they’re easy to use in TensorFlow! Learn about TensorFlow Decision Forests and how to migrate from the previous Estimator API in this article by @mat_gb and @random_forests → https://t.co/RGwZSASDac

Shared by TensorFlow at 4/4/2022

Learn how modern randomization techniques can help preserve anonymity in large datasets in this Explorable → https://t.co/q5nASFZwOk

Shared by TensorFlow at 3/31/2022

See how @LinkedIn personalizes performance for its millions of users with #MadeWithTFJS ML models in Node.js. Learn more → https://t.co/Jg3Sj9gKvC

Shared by TensorFlow at 3/29/2022

Learn how to build a listwise ranking model using TF Recommenders and TF Ranking with Wei! Follow along here → https://t.co/XLtJiveqAY

Shared by TensorFlow at 3/29/2022

By adding two operations to each training step, you can protect the privacy of data points, while simultaneously preventing them from altering the model’s accuracy. Learn more about training with differential privacy in this AI Explorable → https://t.co/CVBmvXmrRe

Shared by TensorFlow at 3/28/2022

To design equitable systems, intentionally thinking about how diversity and inclusion are measured is key. Learn more about measuring diversity in this explorable → https://t.co/FKDTb1LDAJ

Shared by TensorFlow at 3/24/2022

TensorFlow inference is now even faster on Cadence Digital Signal Processors! The always-on ML opportunities are endless.⚡️ Learn more → https://t.co/bWrLqsIKxX

Shared by TensorFlow at 3/24/2022

With more than 30,000 words, punctuation marks, and word fragments in its vocabulary, Zari builds on BERT to try to reduce gender bias in language models. Try Zari in this AI Explorable → https://t.co/NLi2VcTGcH

Shared by TensorFlow at 3/22/2022

Streamline model development workflows with #Keras! TensorFlow’s Matt Watson teaches you how → https://t.co/lZAOs4KGQl

Shared by TensorFlow at 3/22/2022

🏅 Congratulations to #TFCommunitySpotlight Winners, @ialimustufa, @rishit_dagli! Ali and Rishit created a new CPPE - 5 dataset with the goal to allow the study of subordinate categorization of medical personal protective equipment. Check it out → https://t.co/6yg1zYiowA

Shared by TensorFlow at 3/18/2022

🎬 Wondering what movie you should watch next? You can leverage the TF Agent Bandit Library to generate movie recs! Learn how → https://t.co/Uqotm82DII

Shared by TensorFlow at 3/17/2022

💻 Making machine learning fun and approachable to inspire new developers drives Michelle Carney's work as a UX Researcher for ML at @Google. This #WomensHistoryMonth, she shares her biggest piece of advice for those breaking into the tech space → https://t.co/Ztoj0dIs2a

Shared by TensorFlow at 3/12/2022

📚 Meet the TF Agents Bandits Library. The Bandits Library is designed to solve multi-armed bandits tasks. Learn more in the latest episode of Reinforcement Learning with TensorFlow Agents → https://t.co/ldDrGEy3u3

Shared by TensorFlow at 3/10/2022

Bring creative ideas to life with TensorFlow.js in this new self-paced course. Learn how to use ML in the browser to create next gen web apps, from object recognition to text understanding, and more! Enrollment is now open → https://t.co/VDVsF4Hr8h

Shared by TensorFlow at 3/7/2022

A new TensorFlow.js edX course is coming! The course begins on March 3! Get more information and learn how to enroll for free here → https://t.co/4l9skwjyBI

Shared by TensorFlow at 2/23/2022

📱 Reduce your Android APK size and benefit from improved performance by running your #TensorFlow Lite models via our new @GooglePlay Services #API, now available in Beta. Learn more → https://t.co/waAD4avllz

Shared by TensorFlow at 2/22/2022

🤖 In this episode of Reinforcement Learning with TensorFlow agents, our friend Wei discusses continuous & discrete control, and walks through how to use the #Minitaur environment to train a 4-legged robot to walk w/ the Actor-Learner #API. Watch → https://t.co/fnZXNlj3C9

Shared by TensorFlow at 2/22/2022

The recently published ConvNeXt models are now available on TFHub! This is a great contribution from the GDE @RisingSayak with 30 versions of the model, ready for inference and transfer learning, with documentation and sample code. Check them out ↓

Shared by TensorFlow at 2/17/2022

🎮 Build a board game using TF Agents to train a REINFORCE agent, convert the model to #TFLite, and deploy it on #Android in this episode of our reinforcement learning series! Watch now → https://t.co/I2BpAPXMKQ

Shared by TensorFlow at 2/17/2022

➡️ What is a TensorFlow Agent? ➡️ What is the Deep Q Network? ➡️ How do we train DQN Agents? Learn this and more in the latest episode in our reinforcement learning series → https://t.co/ayrXLsB1KF ht

Shared by TensorFlow at 2/15/2022

🔨 Want to learn how to leverage TensorFlow Agents to build your own reinforcement learning agents? Check out this new series on reinforcement learning → https://t.co/boSnoNLJMy

Shared by TensorFlow at 2/14/2022

TensorFlow similarity now supports key self-supervised learning algorithms to help you boost your model’s accuracy when you don’t have a lot of labeled data! Learn more → https://t.co/llfCAKejRk

Shared by TensorFlow at 2/14/2022

From generative deep learning to reinforcement data, we have over 100 ready-to-use code examples from the #Keras community! Take a look → https://t.co/2RdWK1JURj

Shared by TensorFlow at 1/19/2022

Curious about how linear algebra is used in machine learning? From data representations to dimensionality reduction, this high-level overview will show you the basics of linear algebra use in ML → https://t.co/sh7QHMNzOE

Shared by TensorFlow at 1/14/2022

Can you build the most accurate and performant crown-of-thorns starfish object detection models for image sequences? Try your hand at the newest Kaggle challenge → https://t.co/9qSDAyBlCN

Shared by TensorFlow at 12/6/2021

Need to scale up your Learning to Rank (LTR) model? TensorFlow Ranking supports distributed processing to let you handle millions of data points. Learn more → https://t.co/vDtvhp7hgl

Shared by TensorFlow at 12/2/2021

Aimed at making preprocessing data fit more naturally into model development workflow, the #Keras team released Keras Preprocessing Layers. Learn more → https://t.co/yhVzxZgE41

Shared by TensorFlow at 12/1/2021

A decade after the loss of his arm, Jason Barnes' passion for music helped him co-create the world's most advanced prosthetic limbs using TensorFlow! Hear @CYBRNETX's story → https://t.co/F8jBUOU9TB

Shared by TensorFlow at 11/30/2021

🌲 New tutorial for TensorFlow Decision Forests! Do you like training both tree-based models and neural networks? Learn how to train them together using the Keras Functional API in this new example by @mat_gb and team. Learn more here → https://t.co/alNoDE5P5K

Shared by TensorFlow at 11/30/2021

TensorFlow and Kaggle have teamed up for a challenge to protect the Great Barrier Reef! Learn how to enter → https://t.co/Fw4cjQD7k2

Shared by TensorFlow at 11/29/2021

🥳 Meet the 2021 TensorFlow Contributor Awardees! Congratulations and thank you for being part of our community! Read more about their contributions → https://t.co/wVF4BFGYmX

Shared by TensorFlow at 11/29/2021

Take a fresh look at #Keras Preprocessing Layers as they transition into official TensorFlow APIs. Learn more in this article from the Keras team → https://t.co/AzkrZ2ZhSw

Shared by TensorFlow at 11/24/2021

👋 JAX! Combining a NumPy-like API with a set of powerful composable transformations in a Python package, this #MLCommunityDay session will help you get started with JAX. → https://t.co/Gh4kpxhAT7

Shared by TensorFlow at 11/23/2021

Learn how to implement graph neural network models in TensorFlow with TF-GNN! Read more → https://t.co/h70Jlgju2H

Shared by TensorFlow at 11/23/2021

Help Protect the Great Barrier Reef! Announcing a new competition with @Kaggle and TensorFlow to help protect coral reefs, with prizes for accuracy and performance. Learn more → https://t.co/EF3Lb2Cb94

Shared by TensorFlow at 11/22/2021

🎂 Happy 6th birthday #TensorFlow! 🎂 We're proud of the community we've built with you all and how far we've come with TFLite, TFX, TensorFlow.js and more. Learn how you can get started → https://t.co/mSpLKHySXy

Shared by TensorFlow at 11/9/2021

Are you a Python developer interested in converting a model to run in TensorFlow.js? Check out this example notebook that contains a complete example that runs in Colab, and instructions on how to do the same locally. Learn more → https://t.co/SrAIfQkZxo

Shared by TensorFlow at 11/1/2021

Why should you join the TensorFlow Forum?! ✨ Connect with other developers ✨ Get professional advice ✨ Have your questions answered Don't wait — join now → https://t.co/ki7je2JlHh

Shared by TensorFlow at 10/20/2021

📣🙋🏽‍♀️ Have questions you would like to see answered at the #WIMLSymposium? Ask away on the TensorFlow forum before the event and remember to join us next week to get all your answers. ↓ https://t.co/4SeWceZ8X5

Shared by TensorFlow at 10/15/2021

From MobileBERT to Next-Generation Pose Detection, check out the new models that were released on TensorFlow Hub! Read more → https://t.co/RbbB8zIwdz

Shared by TensorFlow at 10/13/2021

🏅👏 Let’s give it up for our #TFCommunitySpotlight Winners and ML GDEs, @algo_diver and @risingsayak! Chansung and Sayak’s project demonstrates a workflow to cover dual model deployment scenarios using TFX, Kubeflow and Vertex AI. Learn more → https://t.co/4YFfmJfi1S

Shared by TensorFlow at 10/8/2021

See a great use of TensorFlow.js pose and face models that create real time motion capture for VTubers by community member, Richard Yee! Learn more ↓ https://t.co/xW5RJ6IUAV

Shared by TensorFlow at 10/7/2021

Looking to continue training a pre-trained model using #Keras or #TFHub? Learn how in the TensorFlow forum ↓ https://t.co/KvobwSbpfp

Shared by TensorFlow at 10/6/2021

Just 30 minutes away! Explore 6 new projects using JavaScript and machine learning on the #MadeWithTFJS community show and tell. Tune into the pre-show chat ↓ https://t.co/g9DSJSCKVo

Shared by TensorFlow at 10/1/2021

🚨 You can now develop TensorFlow Micro solutions for @Sony’s Spresense microcontroller board! Learn how to get started → https://t.co/2T6aWd9Bnj

Shared by TensorFlow at 9/28/2021

Have you ever thought about using TensorFlow Decision Forests and wanted to do hyperparameter tuning with #Keras Tuner? Check out this helpful tutorial from our community ↓ https://t.co/frhEZToXR6

Shared by TensorFlow at 9/27/2021

From self-driving cars to VTubers, see how these 6 new projects are using javascript and machine learning on the #MadeWithTFJS community show and tell. 🔴 Watch live on October 1st at 9AM PT → https://t.co/g9DSJSl9wO

Shared by TensorFlow at 9/24/2021

If you’re having trouble finding YOLO models on TensorFlow Hub or Model Garden, we’ve got you covered! Find the beta models for both YOLOv3 and YOLOv4 ↓ https://t.co/vqdUDZcEso

Shared by TensorFlow at 9/22/2021

🥳 Introducing TensorFlow Similarity! Our newest python package is focused on making similarity learning quick and easy, and is now in Beta. Full details ↓ https://t.co/9T8o8rz3XZ

Shared by TensorFlow at 9/13/2021

⚡ XNNPACK-Accelerated Quantized Inference is coming to TensorFlow Lite and brings capabilities for efficient cross-platform deployment. Learn more ↓ https://t.co/u4HUxYUqdg

Shared by TensorFlow at 9/9/2021

🐍 Having issues converting your Python model to TensorFlow.js? Check out our Op support matrix - an easy-to-view spreadsheet that shows the current state of op support across JS backends. See if your Python model is using any unsupported ops → https://t.co/1YE4ouSI0S

Shared by TensorFlow at 9/8/2021

Take your ML skills to the next level with over 100 Keras code examples! 💯 These workflows cover computer vision, natural language processing, and more! All created by the #Keras community. Check it out → https://t.co/cYMmw7Q5Lq

Shared by TensorFlow at 9/3/2021

🔥 Now on TensorFlow Hub - New models for Automatic Speech Recognition: Wav2Vec2 Models and tutorials published by @7vasudevgupta, a Google Summer of Code student. 🎉🥳 Learn more → https://t.co/Tapu4lTDvo

Shared by TensorFlow at 9/2/2021

💃 Try our new model that enables 3D Pose Detection live in your web browser with MediaPipe BlazePose GHUM + TensorFlow.js. Share your creations with #MadeWithTFJS. Get started → https://t.co/iPKybkWlFN Read the blog → https://t.co/79spvLoWdh

Shared by TensorFlow at 8/30/2021

🗣 Automatically learn unknown speech sounds in your next #MadeWithTFJS project! Want to learn more? Join the discussion ↓ https://t.co/IHnAqo0777

Shared by TensorFlow at 8/27/2021

🏅Congratulations to #TFCommunitySpotlight winner, Sayak Paul (ML GDE)! Sayak’s project provides a systematic way to compress bigger models into smaller ones allowing developers to serve them at lower costs. Great job! Check it out → https://t.co/R4zeX6oOOn

Shared by TensorFlow at 8/19/2021

📣 TensorFlow 2.6.0 is out now! The release contains many new features like Keras splitting into a separate repository, support for custom gradients in SavedModels, security fixes, and more. Full release notes ↓ https://t.co/4eakBTzOfR

Shared by TensorFlow at 8/18/2021

🤸‍ Movement + 🤖 AI + 👫 Friends. Our #MadeWithTFJS MoveNet model now supports multi-person pose detection and tracking, all at realtime speeds in the browser! What will you make with it? Try now → https://t.co/FFYuDeltQ0

Shared by TensorFlow at 8/17/2021

⚡ TensorFlow models can run faster on GPUs by using the XLA compiler. In this talk, we'll provide an overview of how to use tf.function(jit_compile=True), the XLA: Just-In-Time compiler, using XLA from TF, and benchmark results. Learn more → https://t.co/ffV7tgHtvH

Shared by TensorFlow at 8/17/2021

🧘‍♂️ MoveNet is now on mobile! The state-of-the-art pose estimation model finally comes to mobile via TensorFlow Lite with CPU acceleration enabled. Now you can run pose estimation in realtime on modern smartphones. Learn more 👉 https://t.co/lmGgSVEbz4 ht

Shared by TensorFlow at 8/16/2021

Function matching allows you to compress bigger models into smaller ones, reducing storage costs and improving inference speed. Check out @RisingSayak's TF implementation of knowledge distillation using function matching with Cloud TPUs ↓ https://t.co/R4zeX67dWP

Shared by TensorFlow at 8/12/2021

Finding the right sample size for model training is easy as 1️⃣, 2️⃣, 3️⃣! With Keras, you can estimate the optimal number of images needed to achieve desired model performance. Learn how → https://t.co/OZvuZWVcuN https

Shared by TensorFlow at 8/11/2021

From English-to-Spanish ↔️💬 Learn how to build a sequence-to-sequence Transformer model with Keras to perform a machine translation task here ↓ https://t.co/4cTiiAGD5I

Shared by TensorFlow at 7/28/2021

📈 Leverage context features and multitask learning. Improve the performance of your recommendation systems by leveraging context features multitask learning. See how → https://t.co/SZW7xy22mT

Shared by TensorFlow at 7/28/2021

🚨 Coral Update Alert! 🚨 The latest edge ML software from Coral offers improved tools and expands model compatibility (RNN anyone?). Learn more about the updated compiler tools, APIs, and pre-trained models here ↓ https://t.co/Q8SOxtGSgj

Shared by TensorFlow at 7/27/2021

Transformer models in NLP 💬 Research Engineer @IuliaTurc walks through the recent history of Natural Language Processing, plus: 🔸 Encoding text 🔸 Language Modeling & Transformers 🔸 Transfer Learning & BERT Learn more → https://t.co/rPyOcAmoiH

Shared by TensorFlow at 7/22/2021

💡 The TF-Agents Bandits library offers a comprehensive list of bandit algorithms and test problems, and makes it easy for users to implement their own. Read along for an introduction to the library ↓ https://t.co/XdZFD91ao0

Shared by TensorFlow at 7/22/2021

Visit our website for more information on the TensorFlow Developer Certificate exam ↓ https://t.co/pgXtCOaaOq

Shared by TensorFlow at 7/21/2021

🤔 Thinking about taking the TensorFlow Developer Certificate exam? Check out some tips from our community or share your experience on the TensorFlow Forum here → https://t.co/sh1fwTtrnL

Shared by TensorFlow at 7/21/2021

ML for mindful eating! 😋🍽 #TFCommunitySpotlight Winner, Kutluhan Aktar, built a neural network model with TensorFlow that differentiates between healthy and unhealthy food products by interpreting the nutritional facts in their barcodes. Learn how → https://t.co/tYgKtIk3RO

Shared by TensorFlow at 7/21/2021

🏅 Ranking candidates items effectively after the retrieval stage is important for a solid recommendation system. See how to build and implement a ranking model with Tensorflow Recommenders to maximize the utility of your item list. Learn more → https://t.co/MgvCTv36g5

Shared by TensorFlow at 7/20/2021

⚡ Build fast, sparse on-device models with the updated TensorFlow Model Optimization Toolkit Pruning API and #XNNPACK acceleration library. Learn how you can use the new API to selectively prune models and optimize for mobile inference and Web → https://t.co/EQ8K9VkohY

Shared by TensorFlow at 7/20/2021

🛎️ TensorFlow 2.6.0-rc1 release is out now! This release splits Keras into a separate PIP package and gives you experimental support for variables in TFLite Converter. Check out the release notes to learn more ↓ https://t.co/z7fHCrvvBH

Shared by TensorFlow at 7/16/2021

Explainable AI, explained 😎 In this tech talk, ML Solutions Engineer Doug Kelly covers: 🔶 What Explainable AI is 🔶 Interpretable ML methods 🔶 A deep dive on Integrated Gradients 🔶 Future research directions Tune in → https://t.co/5bMAV9af3I

Shared by TensorFlow at 7/16/2021

🛠 Try the new Coral Manufacturing Demo! Take full advantage of the Coral Edge TPU™ with high performance, customizable, and production-quality code. See how to process and display two simultaneous inputs for Worker Safety and Visual Inspection. Read 👇 https://t.co/VwJOPcecmn

Shared by TensorFlow at 7/16/2021

🛠️ Learn to build, train and evaluate three modern MLP models for image classification. 🖼️ More info here ↓ https://t.co/pDXg2S5Knf

Shared by TensorFlow at 7/14/2021

“I was a stay-at-home mom when I started to learn Machine Learning at Google Bangkit Academy back in 2020...I was able to get back to work after years of hiatus. My current role is Machine Learning Curriculum Developer in Dicoding.” Tia Dwi Setiani Learn→https://t.co/mCYW5rYJ0L

Shared by TensorFlow at 7/14/2021

💥 TensorFlow Recommenders 💥 The elegant and powerful library for building recommendation systems. In this video, explore the MovieLens dataset and learn how to use TensorFlow Recommenders to build a basic retrieval model. #TFRS Watch → https://t.co/XKkNzuBjml

Shared by TensorFlow at 7/13/2021

"I was unemployed due to COVID, and decided to take the TensorFlow Certificate exam. I'm now a Google employee, the certificate helped my resume stand out from other applications." Fran Marmousez, Conversational AI Engineer at Google. Learn more → https://t.co/6Q5jzt0RrP

Shared by TensorFlow at 7/13/2021

Check out this great @Kaggle tutorial from the community on fine-tuning BERT from TensorFlow Hub for text classification! 🔎 Get started ↓

Shared by TensorFlow at 7/12/2021

We’re celebrating 1 year of the TensorFlow Developer Certificate! 🎉🎂🧑‍🎓 With more than 3,000 people passing the exam, hear from some folks on how the certificate helped them make moves in the industry and showcase their ML skills. Learn more → https://t.co/YpDn36k61l h

Shared by TensorFlow at 7/12/2021

Building recommendation systems with TensorFlow! Learn how content-based and collaborative-based filtering can be used to personalize your user's experience. Watch now → https://t.co/8bazh9XLfU

Shared by TensorFlow at 7/9/2021

👩‍🔬👨‍🔬 There’s still time to enter the TensorFlow for Microcontroller Challenge! Submit your TensorFlow Lite project by July 19 for a chance to win cash prizes and meet the team. What are you building? Learn more → https://t.co/AVagQYr9zs htt

Shared by TensorFlow at 7/9/2021

🎉 TensorFlow 2.6.0-rc0 has been released! This release splits Keras into a separate PIP package. Plus, TFLiteConverter now supports ReadVariable and AssignVariable. Full updates ↓ https://t.co/uVyPZsYdE3

Shared by TensorFlow at 7/8/2021

📣 Attention TensorFlow Contributors! Share your experience contributing to TensorFlow and join our brand new forum to connect with other community members. See what tools they're using and learn tips on fostering community. Join the discussion → https://t.co/UZnjRUG2II

Shared by TensorFlow at 7/7/2021

You can also watch the Google I/O talk for more information. Check out “TensorFlow Hub for real world impact” → https://t.co/dJIOSnjSxQ

Shared by TensorFlow at 7/7/2021

⚡️ TensorFlow Hub for real world impact Developers are using models available from #TFHub to solve real world problems across many domains. Read the blog to learn more 🧡 → https://t.co/hidgqw7Pmq

Shared by TensorFlow at 7/7/2021

How can Generative Adversarial Networks (GANs) be used to solve modelling problems in images and audio? In this tech talk, Research Engineer Joel Shor discusses GANs, its applications and demos, and how you can get started. 📺 Watch now → https://t.co/N7bTp5aZYh

Shared by TensorFlow at 7/1/2021

You can now see TensorBoard in the @huggingface 4.8.0 release 🤗 When using their new training scripts, you’ll even get TensorBoard visualizations out of the box! Check it out 👇

Shared by TensorFlow at 7/1/2021

📊 Graph representation learning is useful for a variety of ML tasks! For example, a Graph Neural Network model can be used to predict the topic of a paper given its citations. Learn how to implement → https://t.co/09IaAF4edJ

Shared by TensorFlow at 6/30/2021

🏆⚡️ The latest MLPerf Benchmark results are out and Google's #TPU v4 has set new performance records! Now you can train some of the most common ML models in seconds. Learn more → https://t.co/IZGQh2p2pY

Shared by TensorFlow at 6/30/2021

📷 🏷️ Learn to build and define an image captioning model to generate human-readable descriptions for your images. Get started with the https://t.co/7yi3IYNcze tutorial, then modify for your own use cases. See how ↓ https://t.co/s5ZZ6WRHqG

Shared by TensorFlow at 6/24/2021

📈🧠 An introduction to Graph Neural Networks. In our latest talk, @PetarV_93 goes over: • Fantastic GNNs and where to find them • Graph data processing • GCNs, GATs and MPNNs • A codelab Tune in to ML Intensive at X → https://t.co/8QESupW9nG

Shared by TensorFlow at 6/17/2021

🔎 Object detection on mobile has improved with recent TensorFlow Lite updates. Check out how to train and deploy custom models in just a few lines of code using Model Maker and Task Library! Read the blog ↓ https://t.co/NPrrHxY8ja

Shared by TensorFlow at 6/16/2021

Object detection is easy with #TFLite! Learn how to train a custom object detection model and deploy it to an Android app in just a few lines of code ✅ Watch now → https://t.co/mQfhxk8KAG

Shared by TensorFlow at 6/15/2021

Using machine learning to help build a more accessible world. See how drummer @cybrnetx teamed up with Georgia Tech researchers to build one of the world’s most advanced prosthetic limbs, powered by #TensorFlow. Learn more → https://t.co/8bepgM2BtT

Shared by TensorFlow at 6/11/2021

Wondering how you can run larger quantum machine learning (QML) and hybrid quantum-classical experiments? Check out this TensorFlow Quantum tutorial on training with multiple workers, powered by Kubernetes and @GoogleCloud. ☸️☁️ Read now ↓ https://t.co/4D1RG8pIG9

Shared by TensorFlow at 6/11/2021

🔓 Keras is fully integrated into TensorFlow to help you unlock deep learning models! In this session, @fchollet and @martin_gorner build a simple variational autoencoder to introduce you to standard Keras design patterns. Watch here → https://t.co/uUToSh1exC

Shared by TensorFlow at 6/10/2021

💃 Strike a pose with #MoveNet! The next-generation human pose model is now available as #TFLite versions on #TFHub, ready for fast on-device inference! Check it out → https://t.co/zSuioI1DSO

Shared by TensorFlow at 6/8/2021

🔮 See the future of #machinelearning at the Applied ML #GoogleCloudSummit on June 10! Dive into the #TensorFlow #ResponsibleAI Toolkit, crowdsourced problem-solving with the ML community, and deep learning predictions with @fchollet. Sign up now → https://t.co/gguxdRONCW

Shared by TensorFlow at 6/8/2021

Solving problems with ML ✅ Get to know common machine learning use cases like analyzing multimedia, building smart search, and transforming data, and learn how to quickly build them into your app to help solve everyday problems. Check it out → https://t.co/yEph3dGyQv

Shared by TensorFlow at 6/7/2021

☝️ We're talking TensorFlow from the ground up. Go over everything you need to know to learn TensorFlow in six easy pieces, including tensors, variables, and gradients, all without using high level APIs. You’re watching ML Intensive at X → https://t.co/SLTZloMy4z

Shared by TensorFlow at 6/7/2021

We announced the TensorFlow Forum at #GoogleIO. Now you can: 👋 Get to know our TensorFlow team in the threads 💬 Ask technical questions ➕ Join special interest groups (SIGs) 🤝 Connect with our growing community Learn more → https://t.co/nd3fQrWvSx

Shared by TensorFlow at 6/7/2021

The new Machine Learning Engineering for Production course teaches how to get your ML models into production. Learn from the experts! Details here ↓ https://t.co/6VCg7s5gC3

Shared by TensorFlow at 6/1/2021

The TensorFlow Community Spotlight program continues! 🙌 We want to see your machine learning projects. Submit your work to the #TFCommunitySpotlight program for a chance to be featured on the #TensorFlow network and win some swag → https://t.co/PXKB7IRnzi

Shared by TensorFlow at 5/28/2021

🏅 #TFCommunitySpotlight Winner: Alexander Fischer 🏅 Alexander’s project shows how to set up a BERT model for TF.js and train a simple spam classifier on top of BERT within the browser. Great job! GitHub → https://t.co/NbzwPA2iqV

Shared by TensorFlow at 5/12/2021