DS413 – Elective 4

Jupyter-Book Compilation

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About This Compilation

This site is the official compilation of my work for DS413 – Elective 4 (Deep Learning).
It showcases the outputs of my laboratory exercises and projects in the form of Jupyter Notebooks.

This Jupyter Book is designed to:

• Provide a structured documentation of my work in DS413, covering all exercises and projects.

• Highlight both my theoretical understanding and practical skills in deep learning, from concepts applied in activities to project implementations.

• Serve as a portfolio of my work, highlighting my project workflows and the deep learning frameworks I applied throughout the course.

Laboratory Exercises

• Laboratory Task 1
• Laboratory Task 2 - Single Forward Pass and Error Analysis
• Laboratory Task 3 - Implementing Forward and Backward Propagation
• Laboratory Task 4 - Training Linear Regression Model in PyTorch
• Laboratory Task 5 - PyTorch Basics
• Laboratory Task 6 - Implementation of a CNN Architecture

Blogpost

• Mastering Momentum: A Deep Dive into Adam’s Adaptive Mechanics