Skip to content

Welcome to AI Notes DeepDive — a repository where I’m compiling my notes as I explore and learn. These notes will include theory, concepts, practical insights, and references from courses, papers, and real-world projects — organized in a way that's simple, structured, and useful for revision or deeper understanding.

Notifications You must be signed in to change notification settings

Revati-N/AI-Notes-DeepDive

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🧠 AI Notes DeepDive

Welcome to AI Notes DeepDive — a personal repository where I’m compiling my notes as I explore and learn Artificial Intelligence, Machine Learning, Deep Learning and more.

These notes will include theory, concepts, practical insights, and references from courses, papers, and real-world projects — organized in a way that's simple, structured, and useful for revision or deeper understanding.


📌 What to Expect

🚧 This repository is a work in progress. Notes will be updated regularly as I continue learning.

Planned topics include:

  • 🔍 Core Concepts
  • 🤖 Machine Learning Algorithms
  • 🧠 Neural Networks & Deep Learning
  • 💬 Natural Language Processing
  • 📊 Model Evaluation
  • 🧪 Experimentation Notes & Project Learnings

💡 Why This Repo?

I’m building this not only as a revision aid but also to:

  • Reinforce my understanding through writing
  • Share what I learn with the community
  • Track my progress over time

⭐ Stay Tuned

If you’re on a similar learning path, feel free to star ⭐ the repo and check back for new updates.


🙋‍♀️ About Me

I’m Revati, a student and AI/ML enthusiast working on research and projects in this field.
Let’s connect on LinkedIn or collaborate if you're into the same stuff!


“Learning is an infinite loop — and I'm here to dive deep.”

About

Welcome to AI Notes DeepDive — a repository where I’m compiling my notes as I explore and learn. These notes will include theory, concepts, practical insights, and references from courses, papers, and real-world projects — organized in a way that's simple, structured, and useful for revision or deeper understanding.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published