Thanks for asking this. I had a related question - have you found any other textbooks/courses which take a chronological view on the subject of neural networks,

Thanks for asking this. I had a related question - have you found any other textbooks/courses which take a chronological view on the subject of neural networks, sort of a tour-de-force of their history? A lot of MOOCs and open courses do a very good job at teaching the deep learning toolset for specific domains - vision, text, and so on. I was looking to find a curated source on how neural network architectures and algorithms gradually evolved over time as people realized they could solve a wider variety of problems. This probably sounds like a `seminar` course with extensive readings? A good analogy for instance would be the MAA book on the history of integration [0], which describes how the notion of integration was formalized over time. Thank you for your help! [0] https://www.maa.org/press/maa-reviews/a-radical-approach-to-lebesgues-theory-of-integration https://www.maa.org/press/maa-reviews/a-radical-approach-to-...