Weekly Seminar – 2/24/2017 – Deep Learning #6

Shiyang Li from Dr. Ajjarapu will be giving the final talk of the Deep Learning Series, on Generative Adversarial Networks. Please find the slides and reference material for the same.
Date: Friday, 24th Febraury
Time: 3:00pm to 4:00pm
Location: Coover, 2222
We will also be starting the next series of lectures on low rank and sparse signal processing. The schedule for the same has been updated on the list of talks page.

Weekly Seminar – 2/17/2017 – Deep Learning #5

We’re inching towards the end of our Deep Learning (DL) series. We just have two talks left after which we move on to our next batch of topics on Sparse and Low Rank Signal Processing. Having gone through four talks on varied topics from introduction to optimization to models such as CNN and RNN, under the umbrella of Deep Learning, we thought it would be apt to look at how these models are actually being implemented.

Manaswi Podduturi from Dr. Hegde’s group will be speaking this Friday, on applications of deep learning. She will give brief talk about how to get started with implementing deep learning and introduce some popular resources for the same. She will also compare the performance of various DL algorithms on a fixed dataset.

If you’re itching to utilize the concepts discussed in the last few talks, but don’t know how to get started, do come for this session! For others, there’s coffee as usual!

Date: Friday, 17th February

Venue: 2222, Coover Hall

Time: 3:00pm to 4:00pm

Slides: Applications of DL


Weekly Seminar – 2/10/2017 – Deep Learning #4

Thanh Nguyen, from Dr. Hegde’s group will be giving the fourth talk in the Deep Learning series, this Friday. He will introduce recurrent neural networks for modelling the sequences and discuss some background ideas related to it. He will also talk about how to train the recurrent networks with back-propagation for a specific application of Language Modelling.


The reference for the talk is Chapter 10 of the deep learning book and lecture notes from the Oxford Deep NLP course.

There is a slight shift in the timings; we will convene at 3:15 pm, instead of the usual 3:00pm. The venue remains the same.


Date: Friday, 10th February

Venue: 2222, Coover Hall

Time: 3:15pm to 4:15pm

You can find the slides for the talk here: Recurrent Neural Networks

Weekly Seminar – 2/3/2017 – Deep Learning #3

Continuing with the current theme of talks on Deep Learning, Jason Saporta, will be talking on Convolutional Neural Networks. Jason is jointly advised by Dr. Heike Hofmann and Dr. Alicia Carriquiry from the Department of Statistics. He will be discussing Chapter 9 of the Deep Learning book.
You can find the slides here.
You can also find additional references to his talk: A free online book and reference paper.
Details of the talk are as follows:
Date: Friday, 3rd February
Time: 3pm to 4pm
Venue: 2222, Coover Hall
Hoping to see you all there!