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.
Lecture videos are updated after each session. [View Mirrors]
| Date | Time | Topic | Materials |
|---|---|---|---|
| 18-01-2026 | 7:00 - 12:00 PM | Lec-1: Overview & General Introductions (Including previous two meetings) | |
| 25-01-2026 | 8:30 - 11:30 PM | Lec-2: Basics of Pytorch and Activation functions in DNNs | |
| 02-01-2026 | 8:30 - 11:30 PM | Lec-3: Perceptron, MLP and Pytorch Pipeline for classification |