Deep Learning Courses and People
Few Resources for starting with deep learning, legenedary people in the area and few professors i had the pleasure to work under.
Summary of Deep Learning Papers in Computer Vision
In recent years the many computer vision tasks like classification, segmentation, 3d-perception, pose estimation, sketch generation and others which are considered mark of human intelligence are solved by deep neural nets with competitive accuracies sometimes even better than human performance, but neural nets have their own shortcomings like adversarial perturbations.
So deep learning is a very active area of research, i summarize all the recent papers in this blog posts.
Deep Learning in a nutshell
Some awesome resources for enthusiasts
CS231N -Stanford groups basic computer vision course
CS 294 Berkeley Deep RL Course
Acknowledgement
My current Lab
Video Analytics Lab(VAL),IISc.
Few professors i worked under
R. Venkatesh Babu - (1 Year)
Amit Sethi (1 Year)
S N Omkar (3 Months)
Neelesh B. Mehta (3 Months)
Gaurav Trivedi (3 Months)
Suresh Sundaram (3 Months)
Some well known people in the area
(follow everything they write from arXiv to twitter.)