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
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
Explainable Deep Learning: A Field Guide for the Uninitiated: https://t.co/xBsIfA17Tp
— Denny Britz (@dennybritz) May 1, 2020
This paper looks like a nice survey for anyone who wants to get started in Deep Learning explainability and trust/safety research. pic.twitter.com/kgwMvDRkQ4
The latest in my #rstats / #sql adventures:
— Irene Steves (@i_steves) May 1, 2020
✨Using SQL in RStudio✨
Featuring SQL RMarkdown chunks, query previews in RStudio, and my first make-my-own cartoonhttps://t.co/MKLsRNjq2I pic.twitter.com/IJwWM8mBCe
The other day, I posted a Colab "Introduction to Keras for Researchers". Now, you can read "Introduction to Keras for Engineers". Very different focus & priorities :)https://t.co/CMqwjkLSxh
— François Chollet (@fchollet) April 29, 2020
Parameters vs Hyperparameters https://t.co/eZ2bbpDzwV pic.twitter.com/xE8lHrI00R
— Chris Albon (@chrisalbon) April 29, 2020
Should I use #NumPy, #cuDF, or #CUDA Arrays? Answer. All of the above! The new configurable input/output data types in @rapidsai #cuML helps optimize your #GPU #MachineLearning workflows. Learn how we unify different approaches for flexible I/O here - https://t.co/xFFrNootxg
— RAPIDS AI (@rapidsai) April 29, 2020
Google AI Blog:Optimizing Multiple Loss Functions with Loss-Conditional Training https://t.co/zHEqtdJuu9 via @googleai
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) April 27, 2020
Nice Medium on how to serve @huggingface BERT in production with pytorch/serve by MFreidank
— Julien Chaumond (@julien_c) April 27, 2020
Hat/tip @joespeezhttps://t.co/cL3BYUi5a4 pic.twitter.com/ryyfbyZLji
Presenting this at @iclr_conf *today*!
— Maithra Raghu (@maithra_raghu) April 27, 2020
Talk and Slides: https://t.co/SIaV5qLzCS
Poster Sessions: (i) 10am - 12 Pacific Time, (ii) 1pm - 3pm Pacific Time
Thanks to the organizers for a *fantastic* virtual conference, hope to see you there!#iclr #ICLR2020 https://t.co/Mqj8DHlx6C
How do you obtain the class activation heatmap for an image classification model in Keras?
— François Chollet (@fchollet) April 26, 2020
Like this: https://t.co/sioWHRo8Sc pic.twitter.com/MdhGpOOF5h
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
Hyperplane pic.twitter.com/60x0snB6Ct
— Chris Albon (@chrisalbon) April 25, 2020