Anubhav Tiwari

If someone builds a Deep Learning-powered startup, should we call them entrepreneurial or entrepreneural?

I never heard back from MIT. I got rejected from CMU. I was accepted to U of T but not to work with the PI I wanted there. I got "honorable mention" for NSF GRFP but not actual money. Don't let temporary failures discourage you. twitter.com/mrtz/status/95…

Amazing.

Began my new year by reading 2 great research papers (Squeezenet and CNN is all you need) . This year is going to be awesome.

Ever get confused between your "base" and "compare" branches? Shipped a tiny @github change today that will hopefully clear things up.

.@ylecun replies to Ali Rahimi's "alchemy" and Ali replies to that. v nice! my opinion is empirical work is great w/o proving things (I do mostly that) but I am quite allergic to the practice of bandage mountains "just cuz" for dealing w flaws, rather than going fixing the flaws

@goodfellow_ian @mitpress Inspired by your work on GANs and loving the deeplearning book. Thanks for providing a great resource to gain insight in ml. 🙌🙌

Here we go again... the @FCC is set to vote on new #netneutrality rules December 14. See how you can join us in support of a free and open internet: github.com/blog/2475-make…

Announcing the Initial Release of Mozilla’s Open Source Speech Recognition Model and Voice Dataset - The Mozilla Blog goo.gl/QhSdrb #machinelearning #mozilla #speechrecognition

One of my favorite samples from the Progressive GANs paper is this one from the "cat" category. Apparently some of the cat training photos were memes with text. The GAN doesn't know what text is so it has made up new text-like imagery in the right place for a meme caption.

Ever wonder what "dropout regularization" really means? 🤔 This and ~200 other #ML definitions at your fingertips in this ML Glossary 📖 Check it out here ↓goo.gl/zqqjKj

We need to stop praising poorly planned lucky breaks and start praising thoughtful experiments that didn't work. adamgrant.net/wondering

New result! ML to help prioritize palliative (end-of-life) care. Learned from ~200K patient records to estimate risk of death; currently in pilot in a hospital. stanfordmlgroup.github.io/projects/impro… @anandavati @drnigam @Stanford

Thinking a lot about diversity in AI. Here's my current Stanford group: #people" target="_blank" rel="nofollow noopener">stanfordmlgroup.github.io/#people We striving to do better and increase diversity. AI needs to welcome everyone!

Your first open source contribution can be daunting. Here's a little help getting started from @kytrinyx, maintainer of @exercism_io. github.com/collections/ch…

Just interviewed @ylecun for the the Deep Learning series. Inspired to hear his story from early backprop to CNNs to FAIR and how he organizes AI research. Edited video coming soon! deeplearning.ai

we dead

Are you a programmer who wants to get into deep learning? Apply to our Machine Learning Fellow role: #lever-54ddfefe-6483-4bba-a828-11a156eae7eb" target="_blank" rel="nofollow noopener">openai.com/jobs/#lever-54…

We are so excited to announce the Developer Preview of #TensorFlowLite! Read all about it in our blogpost → goo.gl/a9czwZ

Introducing #VSLiveShare - Real-time collaborative development for @code and @visualstudio. Tools you love, Share Full Context, Collaborative Editing, Collaborative Debugging. Find out more code.visualstudio.com/blogs/2017/11/…