I recently started learning about the basics of deep learning using just Youtube videos and gemini or claude to explain about things when i get stuck.
I started with - Yann Lecunn's course, where he recommended 3blue1brown for linear algebra.
3blue1brown is a youtube channel known for explaining math with matching visuals, I really loved the way linear algebra was explained there.
I saw another playlist there for DL so i started that, where a book written by Michael Nielsen called "Neural Networks and Deep Learning: Introduction to the core principles." was recommended.
Then i started reading this book, its been three days - hardly finished the first chapter (lot of math), feels like i'm stuck in a rabbit hole.
I'm very curious to know how it all works, but it feels really overwhelming. Am i going the right way?
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