Clearly explained notes of everything in The Little Book of Deep Learning. Here is the whole book.
I do this becasue first principles are what matter. If you understand the first principles you are good. I'm refreshing my understanding by explaining everything as simply as possible.
Artifical Neural Networks - Computational models inspired by the structure and function of the human brain. They detect patterns and make predictions.
Deep Learning - A subset of ML that focuses on using ANNs with multiple layers.