← All posts

My Deep Learning Journey

☺︎ This post contains a curated web-page link with chapter-wise interactive DL notes

I made this space to preserve my thoughts, my journey, and share my study materials and experience. Today's post is all about my Data journey.

The begining

My very first interest in Data Science started even before I joined KGP. I remember, just after my JEE, I was exploring different career paths (yeah, I knew nothing about Engg before coming here. "Aab pata hai kya?" I doubt that.) Now my JEE days are a different story. Let's talk about that some other day. Coming back to the topic, I came across the IITM BS degree on Data Science. And I was like, "Prediction! AI! Shunne me achchha lag rha hai."
I remember, I was literally on cloud nine. "Bhai ab toh life settle hai." Little did I know that this was just the beginning of a roller-coaster ride.

Interval

So I took the leap. I started with the IITM BS program. But I'd give initial credit to Goated David J Malan (the man behind CS50). Started my journey with CS50x, continued with CS50p, and then CS50AI. Later in my 2nd year, I started following YouTube/CampusX's 100 Days of Machine Learning and Deep Learning series. I highly recommend his content.
Many a time I felt bored while starting with Data Preprocessing and stuff. But as they say, "Boring is the price of admission to the fun part."

Continuation

Now, I am applying all those knowledge in my different self projects and competitions. I'll share my experience and learnings from them in my future posts. As I was preparing for my CDC internship, writing DL short notes felt inefficient given that it requires interactive learning and notebooks felt static. So I decided to make an interactive DL notes web-page. And after a lot of struggle, here it is.

Get the complete notes from here: Deep Learning Study Platform
Source of this web's content: CampusX, HOML - O'Reilly, Claude and Gemini

Calling for Contributions

If this somehow helps you in your journey, consider giving this github repo a star. If you have any suggestions, corrections or want to add something, feel free to open a Pull Request/Issue.

Thanks for reading. More soon.