Deep Learning Roadmap
Published:
Overview
An interactive roadmap visualizing all key concepts in deep learning, created as a comprehensive learning resource. The project aims to transform a detailed concept map into an interactive web-based tool. I created the following chart after learning about deep learning in college, and decided to turn it into an interactive, educational roadmap that I can use in my tutoring sessions.
Here’s the PDF version: Download PDF
Project Goals
- Create a visual learning path through deep learning fundamentals
- Provide structured progression through concepts
- Make complex topics accessible through interactive visualization
- Build a web-based alternative to static concept maps
Current Features
- Comprehensive concept map covering college-level deep learning curriculum
- Organized hierarchy of topics from fundamentals to advanced concepts
- Links to external resources and explanations
Technical Stack
- Frontend: React, TypeScript
- Visualization: React Flow
- Animation: Manim (for concept explanations)
- Build Tool: Vite
Concept Coverage
The roadmap includes:
- Neural network fundamentals
- Optimization algorithms
- Activation functions
- Regularization techniques
- CNN architectures
- RNN and sequence models
- Attention mechanisms
- Transformer architectures
- Generative models
- Advanced topics in modern deep learning
Development Roadmap
Phase 1 (Complete):
- Created comprehensive concept map
- Identified all key relationships between topics
Phase 2 (In Progress):
- Converting to interactive web format
- Adding React Flow visualization
- Implementing navigation and search
Phase 3 (Planned):
- Adding interactive examples
- Integrating Manim animations
- Building tutorial content for each node
Links
- GitHub Repository
- Concept Map (LucidSpark)
- Topics: React, TypeScript, Deep Learning, Manim, React Flow