Course Description

Computer Vision and NLP have been the most successful applications that have taken the world of Machine Learning by storm. They are everywhere today – from applications in healthcare industry such as medical image diagnostics, automotive industry such as ADAS and self-driving autonomous cars to practically all industries such as retail, oil and gas, telecom and manufacturing. No matter what industry vertical, at the very core there is some form of data-driven analytics (from simple regression tasks to more complex scene segmentation tasks in 3D space) that is driving these companies. Since 2012, computer vision tasks have achieved tremendous improvements, Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems.

This bootcamp is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for computer vision and NLP tasks. During the 6-day long course from 6th till 11th January 2020, you will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in deep learning pertaining to computer vision and NLP.

On the final day, you will be presented with an interesting challenge which we are developing with our project partners called Thinking Machines in Spain. More details will follow soon on this page.

FAQ

Can I sit in this workshop?
UTDallas students and alumni can register for the workshop with the help of official e-mail address. Industry professionals are also welcomed to attend the workshop on registration. Register @ http://bit.ly/utd-tarry-ws
What are the pre-requisites for the workshop?
It is advised to have a satisfactory understanding of subjects such as Probability and Statistics, Linear Algebra, and prior experience in coding with Python Programming Language.
Can I bring my own hardware system?
Yes, participants should bring their own work stations/laptop systems. We encourage participants to use Google Colab, server systems with high-end GPU’s or use VM’s offered from our industry partners for all the classroom exercises.
Can I use UTD network for internet access?
Yes, access to internet would be provided through UTDGuest network. Upon connecting to the network, you would be prompted to fill a form on which, the password and username are provided for you to fill along with other details.
Would I have to pay for the hardware?
Only if participants are using VM’s from the industry partners or any other cloud services such as AWS. Services such as Google Colab and Kaggle servers are completely free for students to use.
Can I request for parking permit?
Yes, parking permits can be requested by industry professionals upon request. Please contact the TA’s for the same.
If I do not have a parking permit, where can i park?
You may park in Parking Structure 4 (PS4) on the green-colored spaces.
If I have a question about the workshop, what is the best way to reach the course staff?
If you have any questions or queries, please email the TA’s directly.
Nikhil Pareek – nxp170014@utdallas.edu
Vinaya Khandelwal - vxk180007@utdallas.edu
Neel Gotecha - NeelYogeshbhai.Gotecha@UTDallas.edu