Sumedh Datar
Sumedh is a Senior Machine Learning Engineer with more than 6 years of work experience in the field of Deep Learning, Machine Learning, and Software Engineering. He has a proven track record of single-handedly delivering end-to-end engineering solutions to real-world problems. He works at the intersection of engineering, research, and product and developed Deep Learning based products from scratch that’s been used by thousands of end customers. Currently, Sumedh works in R&D where he works on Applied Deep Learning with fewer data and has several granted patents and several more applied. Sumedh studied master’s in computer science focused on AI.
Sessions
Applied Deep Learning to computer vision has become very popular in the last decade. Many real-world problems related to detection and recognition are being solved by using popular open-source models. Many problems are very specific and off-the-shelf models do not work as it is. These models have to be trained with custom data to perform specific tasks. While training these models apart from empirical information related to training performance, there s no way to interpret the results from the deep learning models. In this talk, I will talk about various ways that we can use to interpret results visually for deep learning models.