Welcome to Deep-Learning-Mini-Projects, for exploring the exciting world of Deep Learning! This repository is based on the deep learning courses that I enrolled in ECE, UT, offering a collection of engaging mini-projects that will equip you with practical skills and a deeper understanding of Deep Learning concepts.

Sharpen Your Skills, Tackle Diverse Problems:

This repository goes beyond theory, providing hands-on projects that address various real-world Deep Learning challenges. Dive into topics like:

• Generalization in Classification: Understand how well your models perform on unseen data.
• Robustness in Classification: Explore how to make your models resilient to adversarial attacks and noise.
• Interpretability in Tabular Data: Gain insights into your model's decision-making process for structured data.
• Interpretability in Image Data: Uncover the hidden patterns your models use to recognize objects in images.
• (and more to come!)

Stay Tuned!

This repository is constantly evolving, with new projects and exciting challenges being added regularly.