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Deep Learning and Artificial Intelligence Research and Development Partner #AI #Deeplearning #machinelearning.

McLean, VA
Joined December 2017
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DeepLearning.Team retweeted
Learn to create a simple TFX pipeline to run with Google Cloud Vertex Pipelines 🧡☁️ Arrange your #ML workflow in a serverless manner to automate, monitor, and govern your systems using Vertex Pipelines. Get the notebook-based tutorial here ↓ goo.gle/48w73Il
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DeepLearning.Team retweeted
🤩 #DevFest is all about learning, building, and connecting as a community! 🫱🏾‍🫲🏿 ML devs, who do YOU want to connect with at DevFest? ⬇️ Other AI/ML devs AI engineers Google Dev Experts All of the above!
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DeepLearning.Team retweeted
In 2009, Google created the PhD Fellowship Program to recognize and support outstanding graduate students pursuing exceptional research in computer science and related fields. Today, we congratulate the recipients of the 2023 Google PhD Fellowship! goo.gle/3PYfLXl
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DeepLearning.Team retweeted
Something fun with voice using generative AI! Here’re four audio clips of either my voice clone (3 clips) or me (1 clip) telling AI jokes. Can you tell which is the real me? Please reply below! Thanks @Speechlab_ai (an @AI_Fund portfolio company) for building the voice clone. – at Palo Alto, CA
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DeepLearning.Team retweeted
Enable GPU acceleration delegate for Android to improve the performance and user experience of your #ML apps 🙌 See which APIs can be used with a delegate and review the guides for details. 📙 → goo.gle/3LkL9O1
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DeepLearning.Team retweeted
Working with temporal can be challenging! That's where Temporian comes in, the new library for pre-processing and feature engineering temporal data. It makes it easy to clean and prepare your data for forecasting. Learn how to get started 👇 goo.gle/44Rvddf
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DeepLearning.Team retweeted
Pick the best hardware acceleration configuration for your device using the Acceleration Service for Android API 📱🔶 Minimize the risk of runtime error, run internal inference benchmarks with your TensorFlow Lite model, and gather hardware recs. 👀 → goo.gle/3LoCcn0
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DeepLearning.Team retweeted
🔮 Looking ahead? Read our latest blog to find out how your work with TensorFlow is about to get more efficient, flexible, and intuitive → goo.gle/io23_TFandKeras Here’s a quick tour of the improvements and additions ⤵️
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DeepLearning.Team retweeted
Why should your company join the PyTorch Foundation? 3 reasons: 1️⃣ Contribute to building + maintaining a strong PyTorch ecosystem 2️⃣ Provide thought leadership through expanding industry awareness around PyTorch 3️⃣ Retain, attract, and increase engineering skills and employees
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DeepLearning.Team retweeted
🌟 Discover the power of LLMs in recommendation systems! Our latest blog explores various ideas on leveraging LLMs to augment recommendation systems, focusing on practical applications. Learn more ➡️ goo.gle/3oXOmuW
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DeepLearning.Team retweeted
Machine Learning cheatsheets for Stanford's CS 229! 🚀 The finest cheatsheets you'll ever find! 🔥 Topics covered: - Supervised & unsupervised ML - Deep Learning - Probability & statistics - Algebra & Calculus Links in the thread! 🧵👇
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DeepLearning.Team retweeted
New tutorial on keras.io: training a LLM from scratch on TPU with 🤗 Transformers keras.io/examples/nlp/mlm_tr…
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DeepLearning.Team retweeted
Tactile Diffusion generates synthetic tactile images from sim data, capturing the complex illumination of the gel deformation. This research from UW & Meta AI is the first method using diffusion to close the sim2real gap for vision-based tactile sensing. Read the paper ⬇️

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🦾 Ready to learn the secret to creating amazing ML experiences for devs? TensorFlow and Web Tech #GDE @GantLaborde joined the People of AI podcast to talk about his "aha moment," 20 years in ML and the revolutionary change he sees happening now ↓ goo.gle/41uOkbT
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DeepLearning.Team retweeted
👀 Have a cool project you’re building using TensorFlow? 💡We want to highlight you! Submit your project today for a chance to be featured and recognized across the TensorFlow community! ➡️ goo.gle/TFCS23
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DeepLearning.Team retweeted
#WebML is growing fast! 🍒 See how @Adobe plans to embrace TensorFlow.js and Web Assembly in the browser to bring desktop class features to Adobe Photoshop Web for lower latency in common ML powered tasks vs. the cloud for a better UX. Read now → bit.ly/3ZtskN1
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DeepLearning.Team retweeted
🤩 We are happy to announce the new availability of the TensorFlow-ZenDNN plug-in for TensorFlow v2.12 and above, improving the accessibility of ZenDNN optimizations for the community via framework upstreaming. Learn more ➡️ goo.gle/3G1H12P
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✅ TensorFlow 2.12 has been released! Highlights of this release include the new Keras model saving and exporting format, the `keras.utils.FeatureSpace` utility, TensorFlow Python 3.11 wheels, and many more exciting updates. 💡 Learn more here → goo.gle/40p09zW
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🧠AI is front and center in our lives today. But who are the people behind it all? 🎙️Today we’re launching the People of AI podcast sharing the stories of the incredible people behind this technology! Check out our first episode here ➡️ goo.gle/PeopleofAI
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Yusuf Sarıgöz just published in @TDataScience Launch a web API for Stable Diffusion under 45 seconds. Thanks to TensorFlow, Docker and TensorDock Marketplace, an innovative cloud GPU solution. towardsdatascience.com/launc…
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