Beginner seeking Deep Learning study resources – ML background covered.

Hey everyone,

I’m new to Deep Learning and looking for some solid resources to get started. I’ve already got a good handle on Machine Learning fundamentals, including the math and some project experience.

What are your go-to recommendations (courses, books, websites, etc.) for someone transitioning from ML to DL?

Thanks in advance!

(ps : I’m looking for sources which can show me coding implementation and also for resources that elaborately covers the mathematics involved in the backgroud )