Our next speaker this semester is Kalpesh Krishna. His talk will be on Natural Language Processing, with a focus on contemporary Deep Neural Network paradigms that attempt to address this challenging task.
Language is an extremely complicated and invaluable cognitive tool that human beings use on a daily basis.
Come join us as Kalpesh talks about the challenges that arise in attempting to teach machines how to understand human language, and how that leads to researchers attempting to incorporate memory, attention and so many other brain-inspired ideas into their models.
Kalpesh will talk about some important architectures and methods in the field, as well as his work at the University of Chicago.
Pre-requisites: An understanding of how backpropagation and vanilla feed-forward networks work, as well as some basic Machine Learning knowledge.
Venue: LC-001
Date: 8th Feb, Thursday
Time: 8.30 pm
Addendum: Kalpesh will also be conducting a short Group Discussion for the basics part - so newbies to Machine Learning, jump in! No prereq for GD, of course!
Venue and timings for GD: Tinkerer's Lab, 7th Feb (Wednesday), 8:30 pm
Also, some material from Kalpesh's recent talk in Reflections - https://www.facebook.com/events/892424947596960/
Hi all,
Apologies to those on this thread that we could not keep you guys posted with the recent developments in the group. Hence, here is a combined update:
1. We had a talk by Kalpesh on End to End speech Recognition and a GD by him on basics of machine learning. You can check out the resources from this talk on https://drive.google.com/open?id=1Uk9jHiv91aIfTnB_N6W_Xr4B2Y1oi70U
2. We also held a candid discussion with Prof. Amitabha Nandi from the Physics Department on mechano-chemical basis of morphogenesis (thanks to him for a candid and awesome talk!). We will try putting something up for this topic as well - so watch mails from us.
That's all for now - but there's more coming.