Commencing with foundational Python3, we advance toward pragmatic implementation using OpenCV and PyTorch, bridging the gap between theoretical math and deployment-ready applications.
This tutorial-driven program blends theory with immersive tutorials. It is designed for those enthusiastic about applying classical and cutting-edge deep learning algorithms to real-world scenarios.
Participants attain mastery in designing models for classification, segmentation, and LLMs, critical skills for creating real-world applications in both industry and research domains.
* We actively use Google Space for communication and slide sharing.
Join the Google Space here.
* Find the grade sheet here: Grade Sheet
| Date | Time | Topic | Materials |
|---|---|---|---|
| 15-01-2026 | 7:00 - 8:30 PM (1.5 hours) | Lec-0: Overview of the course | |
| 18-01-2026 | 8:30 - 12:00 AM (3.5 hours) | Lec-1: Overview & General Introductions | |
| 25-01-2026 | 8:30 - 11:30 PM (3 hours) | Lec-2: Basics of Pytorch and Activation functions in DNNs | |
| 01-02-2026 | 8:30 - 11:30 PM (3 hours) | Lec-3: Perceptron, MLP and Pytorch Pipeline for classification | |
| 08-02-2026 | Due 23rd-Feb-2026, 11:59 PM | Assignment 1: XOR Classification (Theory + Practice) | |
| 08-02-2026 | 8:30 - 11:30 PM (3 hours) | Lec-4: Theory of Likelihood, activations, gradient descent, and discussions on assignment | |
| 15-02-2026 | 8:30 - 11:30 PM (3 hours) | Lec-5: Some theory of Backprop and Convolutional Neural Networks | |
| 22-02-2026 | 8:30 - 11:30 PM (3 hours) | Lec-6: Parameter Calculation in Neural Networks | |
| 01-03-2026 | 8:30 - 11:30 PM (3 hours) | Discussions and evaluations of Assignment-1 | |
| 01-03-2026 | Due 16th-March-2026, 11:59 PM | Assignment 2: Lightweight CNNs and Explainable AI | |
| 08-03-2026 | 3:00 - 6:00 PM (3 hours) | Lec-7: Variational Autoencoders | |
| 14-03-2026 | 1:15 - 4:15 PM (3 hours) | Lec-8: Word2Vec Models, Sequence modelling and RNNs | |
| 15-03-2026 | Talk by Vaibhab Rathore | HiDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery | |
| 15-03-2026 | 8:30 - 11:30 PM (3 hours) | Lec-9: LSTMs and Attention-based models | |
| 21-03-2026 | 1:00 - 4:30 PM (3.5 hours) | Lec-10: Transformers-1; Discussions and evaluations of Assignment-2 | |
| 22-03-2026 | Talk by Aniket Thomas | GENIE: A Visual-Only Diffusion Framework for Task- Agnostic Image Transformation | |
| 22-03-2026 | 8:30 - 11:30 PM (3 hours) | Discussions and evaluations of Assignment-2 & Talk | |
| 29-03-2026 | 8:30 - 11:30 PM (3 hours) | Lec-11: Transformers-2; Discussions and evaluations of Assignment-2 | |
| 29-03-2026 | Due 13th-April-2026, 11:59 PM | Assignment 3: Sentiment analysis using CNN | |
| 05-04-2026 | Talk by Munish Monga (1.5 hrs) | DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic (from Sony Research) | |
| 05-04-2026 | Talk by Seshadri Mazumder (1.5 hrs) | Towards Scalable Sign Production: Leveraging Co-Articulated Gloss Dictionary for Fluid Sign Synthesis (IIIT Hyderabad) |