Deep Learning Laboratory (UCS761P) — BE-COE, Semester VI (2026)

👤 Student: Ikansh Mahajan
🪪 Roll No.: 102303754
🧑🏽‍🏫 Instructor: Dr Vijay Kumari
🏫 Batch: 3C53

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📘 Overview

This repository contains all lab assignments, experiments, and mini-projects completed as part of the Deep Learning Laboratory (UCS761P) course at Thapar Institute of Engineering & Technology, under the guidance of Dr Vijay Kumari.

🧠 Topics Covered

• Assignment 1 - Design Perceptron to Learn Logic Gates

• Assignment 2 - Logistic regression: Implement single layer perceptron for glass classification

• Assignment 3 - Linear regression: Implement multiple linear regression using perception

• Assignment 4 - Multilayer perceptron: Implement backpropagation. Predict the age of abalone from physical measurements

• Assignment 5 - Designing different activation functions

• Assignment 6 - Implementation of different optimizations

• Coursera Course 1 - NVIDIA: Fundamentals of Deep Learning (Deadline Feb. 20)

• Coursera Course 2 - Generative AI: Introduction and Applications (Evaluation April 13th to 17th)

• Coursera Course 3 - Generative AI: Foundation Models and Platforms (Evaluation April 20th to 24th)

📑 References

• sentdex. (n.d.). Neural Networks from Scratch in Python [Playlist]. YouTube. Retrieved May 22, 2024, from https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3
• Vizuara. (n.d.). Building Neural Networks from Scratch [YouTube playlist]. YouTube. Retrieved February 2, 2026, from https://www.youtube.com/playlist?list=PLPTV0NXA_ZSj6tNyn_UadmUeU3Q3oR-hu

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⚠️ NOTE

This repository is intended for academic and learning purposes only.