Learn the easiest way to customize pretrained Machine Learning models to your own data. Speaker: Gus Martins Watch more: All Google I/O 2022 Sessions → https://goo.gle/IO22_AllSessions ML/AI at I/O 2022 playlist → https://goo.gle/IO22_ML-AI All Google I/O 2022 workshops → https://goo.gle/IO22_Workshops Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO Source of this TensorFlow AI Video
Follow me on Instagram for extra content (Weekly Quiz starting soon) https://www.instagram.com/agadmator/ Alpha Zero wins protein folding competition https://deepmind.com/blog/alphafold/ Check out the Deepmind’s Academic Paper here https://deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/ Deepmind Homepage https://deepmind.com/ Google Deepmind AI AlphaZero vs Stockfish 8 King’s Indian Defense: Saemisch (E81) 1. d4 Nf6 2. c4 g6 3. Nc3 Bg7 4. e4 d6 5. […]
This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to understand how neural nets do what they do. Simon was the second author on the seminal Google AI SimCLR paper. We also cover “Do Wide and Deep Networks learn the […]
In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player. The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing […]
Join us for PyTorch Developer Day 2020, where we’ll look at technical talks, core updates, and project deep dives. The video will cover a variety of topics, including updates to the core framework and new tools and libraries to support development across a number of domains. You’ll also hear from the community on the latest […]
This is video no. 10 in a series walking through simCLR research paper, going over implementing the data transforms. William Falcon, PyTorch Lightning founder, and Ananya Harsh Ja, Lightning research engineer, deep dive into simCLR (“A Simple Framework for Contrastive Learning of Visual Representations”), self-supervised representation learning on images. Start here to get an overview […]
TensorFlow has been extended to simplify model training and deployment using the JavaScript language. This session will offer a detailed description of how to use JavaScript to train and deploy your models. Rate this session by signing-in on the I/O website here → https://goo.gl/nMzGS9 Watch more TensorFlow sessions from I/O ’18 here → https://goo.gl/GaAnBR See […]
In this episode I speak with Chris Shallue, Senior Software Engineer on the Google Brain Team, about his project and paper on “Exploring Exoplanets with Deep Learning.” This is a great story. Chris, inspired by a book he was reading, reached out on a whim to a Harvard astrophysics researcher, kicking off a collaboration and […]
To support TensorFlow’s continuing growth and scale, we are excited to share the latest in TF2.x for Fall 2020. Join AI Advocate Laurence Moroney (@lmoroney) for product updates across the ecosystem from research, to production, to deployment, new resources to support Responsible AI, and community updates and tips on how to get more involved! From […]
In this episode, I’m joined by Kiran Vajapey, a human-computer interaction developer at Figure Eight. In this interview, Kiran shares some of what he’s has learned through his work developing applications for data collection and annotation at Figure Eight and earlier in his career. We explore techniques like data augmentation, domain adaptation, and active and […]
Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine. We last spoke with Sameer at our Natural Language Processing office hours back at TWIMLfest, and was the perfect person to help us break down 2020 in […]
Sam spent some time with Anki’s Andrew Stein, and their adorable AI powered robot, Cozmo. This is only a preview of the Cozmo, be sure to check back at twimlai.com for the accompanying podcast. Sign up for our newsletter! ➙ https://twimlai.com/newsletter Subscribe! iTunes ➙ https://itunes.apple.com/us/podcast/this-week-in-machine-learning/id1116303051?mt=2 Soundcloud ➙ https://soundcloud.com/twiml Google Play ➙ http://bit.ly/2lrWlJZ Stitcher ➙ http://www.stitcher.com/s?fid=92079&refid=stpr […]
As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles gave an Invited Talk at this year’s conference, You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterprise. In our […]
Erik Lucero and Dave Bacon share details about Google’s quantum computing service. This presentation was recorded on Day 1 of Google’s Quantum Summer Symposium 2020 (July 22, 2020). Google’s Quantum Summer Symposium 2020 playlist → https://goo.gle/2Z149sN Subscribe to TensorFlow → https://goo.gle/TensorFlow Source of this TensorFlow AI Video
In our earlier videos, we showed you how to use the brute force approach in your retrieval system. In this video, we are going to use a more efficient method – Approximate Nearest Neighbours (ANN) and introduce you to the Google ScaNN library. Efficient serving with ScaNN →https://goo.gle/3s6kE4f ScaNN repository → https://goo.gle/3w5d6iH Google AI blog […]
In this episode of #AskTensorFlow, Developer Advocates Laurence Moroney and Magnus Hyttsten answer questions about nightly builds, installing TensorFlow with pip, training TensorFlow models in the cloud, and the benefits of using AI toolkits from the Google Cloud Platform. Ask us your questions related to TensorFlow by posting them on social media with #AskTensorFlow! Stay […]
The 11th class gives an overview of LSTM for NLP and speech recognition. Google speech recognition is introduced. Examples for TensorFlow. Jupyter notebooks, data files, and other information can be found at: https://sites.wustl.edu/jeffheaton/t81-558/ Source of this machine learning/AI Video
Kostya Kechedzhi presents an experiment on quantum circuit “kinetics” using the Sycamore processor. This presentation was recorded on Day 1 of Google’s Quantum Summer Symposium 2020 (July 22, 2020). Google’s Quantum Summer Symposium 2020 playlist → https://goo.gle/2Z149sN Subscribe to TensorFlow → https://goo.gle/TensorFlow Source of this TensorFlow AI Video
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired […]
Today we’re joined by Akshat Kaul, the head of data science and machine learning at Redfin. We’re all familiar with Redfin, but did you know that redfin.com is the largest real estate brokerage site in the US? In our conversation with Akshat, we discuss the history of ML at Redfin and a few of the […]
#mlnews #cedille #wmt Only the greatest of news from the world of Machine Learning. OUTLINE: 0:00 – Sponsor: Weights & Biases 1:50 – Cedille – French Language Model 3:55 – Facebook AI Multilingual model wins WMT 5:50 – YOU private search engine 10:35 – DeepMind’s Open-Source Arnheim 12:10 – Company sued for using AI to […]
Learn about a new tf.distribute strategy, ParameterServerStrategy, which enables asynchronous distributed training in TensorFlow, along with its usage with Keras APIs and custom training loop. If you have models with large embeddings or an environment with preemptible machines, this approach lets you scale your training much more easily with minimum code changes. Resources: Distributed training […]