AI is old, ML not so old but still older than DL. There have been several online courses and books for someone to learn these topics on their own.<p>But the field has progressed quite a lot. For someone in 2023 who wants to learn AI/ML/DL with the ultimate aim of working in DL, what resource should they pick without an iota of doubt? Resources that have a perfect mix of concepts and real practice using real datasets.
I was introduced to Andrej Karpathy's series a few days ago on HN, and it was pretty mind-blowing how he explains basic model training concepts using Python and straightforward calculus. Well worth a watch: <a href="https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ">https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThs...</a>
An online book by Michael Nielsen : <a href="http://neuralnetworksanddeeplearning.com/" rel="nofollow">http://neuralnetworksanddeeplearning.com/</a><p>It starts from basics and builds a CNN to recognize handwritten digits. I found it very helpful during my start of the journey.