Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @bhavashok
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @bhavashok
-
Bhav Ashok proslijedio/la je Tweet
I'm bullish on many of the things Bhav says, they're building some incredible things over at
@NuronLabs.https://twitter.com/bhavashok/status/1224197168006696961 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Though it's fashionable these days to claim that we're in an AI winter, deep learning still has many extremely valuable opportunities. In this post, I express some of my 'definite optimism' and share some of these opportunities.https://twitter.com/NuronLabs/status/1224197102772703233 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In this post, I outline a potential solution to the Deep Learning reproducibility problemhttps://twitter.com/NuronLabs/status/1221714210503004162 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Imagine being a kid and seeing something this magical. This is going to inspire a generation of really motivated AR creatives. I look forward to the future.https://twitter.com/zachklein/status/1217547120636461062 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Suppose we have 4 people in a room, 2 colorblind and 2 not. One non-colorblind person leaves the room. Who's right? 2 colorblind people or the other? There's a single reality but 2 sides that disagree, surely one of them is wrong right?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
A new blog post on one of the most useful metrics used in deep learning, Precision-Recallhttps://medium.com/@nuronlabs/precision-recall-35ac37307c21 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
One thing that is useful is if someone can think coherently: it is totally possible to think your way to novel ideas or solutions. There is an idea maze and you can describe the walls and constraints. The big problem is thinking coherently is surprisingly rare.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
Here's my conversation with Gilbert Strang, a professor of mathematics at MIT & an inspiring teacher of linear algebra to millions of students around the world through MIT OpenCourseWare. I was one of those students and am forever grateful for the journey. https://www.youtube.com/watch?v=lEZPfmGCEk0 …pic.twitter.com/jKLtIULMiG
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
Check out this episode of Forward Thinking Founders, which is an intro to neural networks. Bhav was an engineer at
@Google and@NianticLabs before founding@NuronLabs. We go deep in this episode. Check it out!https://www.breaker.audio/forward-thinking-founders/e/54297895 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
If you'd like to hear the whole story as to how we got from the movie on the left to the movie on the right, come join me for a "tweetorial" starting now!https://twitter.com/RebeccaDRobbins/status/1169230127248506880 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
Now for something different! Deep RL + GAN training + CelebA = artificial caricature. Agents learn to draw simplified (artistic?) portraits via trial and error. @
#NeurIPS2019 creativity workshop. Animated paper: https://learning-to-paint.github.io PDF: https://arxiv.org/abs/1910.01007 Thread.pic.twitter.com/eeChwyP57fPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
In safety-critical situations like autonomous driving, neural networks aren't good enough at visual recognition—yet.
@bhavashok shows how Nuron Labs can change that:pic.twitter.com/PedYHy9i29Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Architecture: Brain as Weights: Learned knowledge, the structure compensates for what the environment/supervision/optimization lackshttps://twitter.com/hardmaru/status/1138600152048910336 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
I will be presenting my work on building a worldwide neural layer that's going to bring fast and reliable neural networks to the real world. http://www.nuronlabs.com https://twitter.com/pioneerdotapp/status/1150487014317314049 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
Objects emerge in 3D-bottlenecked RNNs supervised by moving and watching objects move, in new work by Adam and team https://arxiv.org/abs/1906.03764
#otherSmithHallGHCpic.twitter.com/cSavgSZtXqHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
https://arxiv.org/abs/1905.02175 : a strange imagenet-like dataset with very wrong-looking labels, yet a model trained on it does totally well on the normal validation set. It's a crime against ML!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
Which came first, the chicken or the egg? At last, the definitive answer to this age-old question…pic.twitter.com/klBqssyIGi
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
imitating videos with BigGAN: first predict Y from the source, then feed it to the generator. input here is the trailer for Planet Earthpic.twitter.com/qBwD8EOukq
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bhav Ashok proslijedio/la je Tweet
This is a super cool resource: Papers With Code now includes 950+ ML tasks, 500+ evaluation tables (including SOTA results) and 8500+ papers with code. Probably the largest collection of NLP tasks I've seen including 140+ tasks and 100 datasets. https://paperswithcode.com/sota pic.twitter.com/wfSyTplBR3
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.
Inspired by precocial species in biology, we set out to search for neural net architectures that can already (sort of) perform various tasks even when they use random weight values.
Article: