Electronics and Communications Sciences Unit
Indian Statistical Institute, Kolkata
Winter School on
Deep Learning
From Amateur to Connoisseur : A Journey Transforming Perceptrons to Agents
16ᵗʰ January - 08ᵗʰ March 2026
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All lectures and hands-on sessions will be conducted in online mode only!!
Announcements!
All the participants have been invited to join the Google Classroom.
We have sent Zoom link to ALL the Participants to Join the live Classes.
The Inaugural session shall commence on January 16, 2026, 10:30 AM (IST) followed by a class.
Due to multiple requests the Registration window has been Extended till Jan 07, Jan 12, 2026 Complete Your Application.
The Registration window has been opened from Dec 6, 2025. Know More and Apply.
A plenary talk by Dr. Pushmeet Kohli will be arranged during May or June 2026.
Certificate of Participation will be provided to each participant upon completion of the course.
News
Participants can now Register themselves Directly. Enrollment step is NO longer a part of the process.
Classes shall begin from January 16, 2026 – March 08, 2026
Welcome to the 5th Winter School on Deep Learning
The Winter School on Deep Learning 2026 (WSDL 2026) offers self-motivated students in-depth knowledge and exposure to research in Deep Learning, organized by the Electronics and Communication Sciences Unit, at the Indian Statistical Institute, Kolkata.
The school offers hands-on courses to apply the latest Deep Learning methods to real-world problems. The school also cover the essential concepts of deep learning and the fundamentals of mathematics and programming.
Come join us as we take the journey towards an amazing confluence .
Scope
Participants will learn from the basics of machine learning to the advanced deep learning-based approaches with application to Computer Vision and Natural Language Processing.
Lectures will be delivered by renowned faculties and scientists (from esteemed academic and industrial organizations around the world) who have made significant contributions in their areas of research.
The lectures will be supplemented by detailed hands-on sessions.
Audience
Currently enrolled in research/project scholars, masters, final-year bachelors students.
Academics and industry Professionals.
Keep watching this space as the list of speaker updates !!
Martin Grohe
Professor, RWTH Aachen University
Chair of Logic and Theory of Discrete Systems
Milind Tambe
Gordon McKay Professor at Harvard University
and Principal Scientist Google Deepmind
David Chiang
Assoc. Professor
University of Notre Dame
Pablo Barceló
Director, Institute for Mathematical and Computational Engineering
Universidad Católica de Chile
Stefanie Jegelka
Associate Professor at MIT EECS
and Humboldt Professor at TU Munich
Adriana Romero Soriano
Research Scientist at Meta AI (FAIR) and
Adjunct Professor at McGill University
Geoffrey Hinton
Nobel Laureate
Diederik P. Kingma
Timnit Gebru
Thomas Kipf
Find us
on
YouTube
The Wonderful Journey of WSDL so far ...
Google Sites
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