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What would you recommend for a complete beginner? I found these lectures that have helped me start sketching out the field in my mind, but it's still difficult: https://www.davidsilver.uk/teaching/

David Silver's lectures are on reinforcement learning which is different from deep learning; I definitely wouldn't start there. One good starter book is Hands-On ML by Aurelien Geron - https://learning.oreilly.com/library/view/hands-on-machine-l... but there's tonnes of others (and the recommendations will kind of vary based on your background).

Sweet, that helps. Thank you!

linear regression is what most classes start with

Thanks! I'll look into this.

CNNs are a classic class of ANNs, still widely used in computer vision applications. You will want to look into the transformer architecture though after that, as they are all the rage these days, especially in NLP tasks.

CNN, RNN, generative models, autoencoders, transformers