Display 
everybody'severybody's
notes  in  learning

Refine: deep, inbox, tooob
Tuesday, August 06, 06:18PM  by:shuri
deep,
ming-yu liu,
deep learning,
nvidia,
nvidia research,
ai playground,
artifical inteligence,
ai reasearch,
gaugan,
smart paintbrush,
Viewable by:

source An Artist’s New Tool: How the World’s Leading Creators Use GauGAN
GauGAN, the smart paintbrush that turns rough sketches into photorealistic masterpieces, is being used by the world’s leading creators, from art directors to...
Monday, August 05, 08:27PM  by:shuri
deep,
hyperdrive,
businessweek,
technology,
business,
artificial intelligence,
automotive,
mike volpi,
federal reserve,
amazon.com inc,
alphabet inc-cl a,
uber technologies inc,
software,
autonomous vehicle,
ai inc,
Viewable by:
Wednesday, July 24, 03:33PM  by:shuri
Viewable by:

source Viz.ai artificial intelligence stroke software helping doctors win race against time
The Southeast Regional Stroke Center at Erlanger, based out of the University of Tennessee’s Erlanger Medical Center in Chattanooga, receives referrals from more than 40 hospitals and treats more than 2,500 strokes each year. Patients are rushed to their internationally-recognized center, more commonly referred to as the Erlanger Stroke Network, both day and night, some arriving by ambulance and others by helicopter.
Wednesday, July 24, 03:06PM  by:shuri
Viewable by:

Extrapolation v. Interpolation
What is the difference between extrapolation and interpolation, and what is the most precise way of using these terms? For example, I have seen a statement in a paper using interpolation as: "The
Monday, July 15, 08:17PM  by:shuri
deep,
nlp,
transformer,
google,
attention mechanism,
machine translation,
deep learning,
arxiv,
machine learning,
attention,
natural language processing,
tensor2te...,
Viewable by:

source Attention Is All You Need
https://arxiv.org/abs/1706.03762 Abstract: The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an en...
Monday, July 15, 04:06PM  by:shuri
Viewable by:

source Yves Raimond | From Listening to Watching, A Recommender Systems Perspective
The ever-increasing size and accessibility of vast music libraries has created a demand more than ever for artificial systems that are capable of understanding, organizing, or even generating such...
Sunday, July 14, 08:54PM  by:shuri
Viewable by:

source Justin Basilico | Recent Trends in Personalization: A Netflix Perspective
Driven by progress in deep learning, the machine learning community is now able to tackle increasingly more complex problems—ranging from multi-modal reasoning to dexterous robotic manipulation—all of
Sunday, July 14, 06:41PM  by:shuri
Viewable by:

source Kat Ellis | Personalization at Amazon Music
The ever-increasing size and accessibility of vast music libraries has created a demand more than ever for artificial systems that are capable of understanding, organizing, or even generating such...
Sunday, July 14, 06:07PM  by:shuri
Viewable by:

source Craig Boutilier | Reinforcement Learning in Recommender Systems: Some Challenges
Reinforcement learning (RL) is a general learning, predicting, and decision making paradigm. RL provides solution methods for sequential decision making problems as well as those can be transformed...