Andrew Ng's machine learning course on coursera is great for beginners. It'll show you some theory backed by intuition, and if you do the assignments you'll imp

Andrew Ng's machine learning course on coursera is great for beginners. It'll show you some theory backed by intuition, and if you do the assignments you'll implement ML algorithms yourself (in Matlab). After that, I recommend Stanford's CS231n. It's focused on computer vision tasks, but you can learn a lot about neural nets in general from it. The videos were recorded around a year ago I think, so it's up to date with the latest deep learning techniques and libraries. For some reason the videos were taken down from the CS231n site but you can watch them here: https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNFt6EuMxFYRiNRS07MCWN5UIA https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNF...