This repository contains my work and solutions for the Deep Learning Fundamentals course by Lightning AI. The course covers essential concepts and practical implementations in deep learning using PyTorch and Lightning frameworks.
The Deep Learning Fundamentals course by Lightning AI provides a comprehensive introduction to deep learning concepts and practical implementations. It covers:
- Fundamentals of Neural Networks
- PyTorch Basics
- Working with Lightning Framework
- Building and Training Deep Learning Models
- Best Practices in Deep Learning
├── exercises/ # Solutions to course exercises
├── tutorials/ # Code from video tutorials
└── README.md
This repository is actively maintained as I progress through the course. Each unit's work is organized in separate directories with clear documentation.
- Code implementations follow the course structure and might be modified for better understanding
- Exercise solutions are my own work and might differ from official solutions
- Comments and documentation are added for clarity and future reference
This repository is for personal educational purposes. The course content belongs to Lightning AI.