Tongzhou Wang from MIT talks about the PyTorch data loading pipeline and components - the dataset, the sampler, and the dataloader. https://t.co/9u5xpAYj2W
— PyTorch (@PyTorch) May 4, 2020
Tongzhou Wang from MIT talks about the PyTorch data loading pipeline and components - the dataset, the sampler, and the dataloader. https://t.co/9u5xpAYj2W
— PyTorch (@PyTorch) May 4, 2020
Unfamiliar with AI? Work your way though the ‘New to AI’ playlist to understand more about the science of AI and its potential impact on the world around us.
— DeepMind (@DeepMind) May 4, 2020
Watch here: https://t.co/2qK9rnI0fD #AtHomeWithAI
This talk by @karpathy https://t.co/w2yNib59x4 has convinced me that Tesla is several years ahead of most CV labs in regards to pushing the limits of DL. Commonplace questions like "how do you do early stopping for a multi-task model?" are non-trivial when at scale. pic.twitter.com/5etOuGYSKm
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) April 25, 2020
"The Future of Natural Language Processing" https://t.co/PKl4cSSlZ8 from @huggingface, well done quick summary of recent NLP work and lots of good pointers! 👏
— Andrej Karpathy (@karpathy) April 24, 2020
New Stanford CS229: Machine Learning lectures are now on YouTube: https://t.co/Oth7wibURo
— Denny Britz (@dennybritz) April 23, 2020
CS229 is IMO one of (or THE) best general ML intro class. These are finally replacing the amazing but extremely low-quality lectures from 2008. Andrew doesn’t seem to have aged either!
Learn how to use tidymodels for modeling in #rstats in this screencast, with this week's #TidyTuesday data on GDPR VIOLATIONS!!! 😱
— Julia Silge (@juliasilge) April 22, 2020
Which GDPR article violations are associated with higher fines? 💸https://t.co/kZxax9hP82
The next big thing in #AI is #Privacy
— Andrew Trask (@iamtrask) April 15, 2020
Why?
Solving privacy means 1000x more data in *every* subject where data is valuable/personal
More data -> AI Booms
Ex:
- GAN
- GPU
- Deep RL (simulation)
- ImageNet
- etc
Details: https://t.co/96nFf70Ct4#100DaysofMLCode #100DaysOfCode
Missed the live presentation of @nvidia Kaggle Team (KGMON) yesterday? Here is the recording that you can go over at your leisure:https://t.co/qtuDU9nL8o@JFPuget @ChrisDeotte @DmitryLarko @heads0rtai1s @kagglingdieter @a_erdem4 @Giba1 @0verfit @JiweiLiu
— Bojan Tunguz (@tunguz) April 10, 2020
Here's a video analysis of the paperhttps://t.co/lxLxGvtCFI
— Yannic Kilcher (@ykilcher) April 9, 2020
I've just uploaded a new screencast, this one featuring a lecture I'll be giving as part of a Stanford Embedded ML course tommorow: https://t.co/8OsWfDeMxS
— Pete Warden (@petewarden) April 6, 2020
I go into the background and design choices of TensorFlow Lite a bit more deeply than I have in the past
This past week, the Stanford's HAI Institute has organized a virtual conference on "AI and COVID-19," a video of which is now available: https://t.co/lVpaJ5UVCv. I have asked the organizers to share the following note with the participants: https://t.co/b4ORxy2teR
— Judea Pearl (@yudapearl) April 4, 2020
Cool-looking online lecture from @OxUniMaths this Wednesday on mathematically modelling epidemics.
— Tim Harford (@TimHarford) April 4, 2020
I'm sure I'll learn a lot:https://t.co/c7NAiMmsUa