This was a brief introduction, there are tons of great tutorials online which cover deep neural nets. For reference, I highly recommend this paper. It’s a fantastic overview of deep learning and Section 4 covers ANN. Another great reference is this book which is available online.
Welcome to Part 4 of Applied Deep Learning series. Part 1 was a hands-on introduction to Artificial Neural Networks, covering both the theory and application with a lot of code examples and visualization. In Part 2 we applied deep learning to real-world datasets, covering the 3 most commonly encountered problems as case studies: binary classification, multiclass classification and regression. Part 3 explored a specific deep learning architecture: Autoencoders.
Machine Learning A-Z™ on Udemy is an impressively detailed offering that provides instruction in both Python and R, which is rare and can’t be said for any of the other top courses. It has a 4.5-star weighted average rating over 8,119 reviews, which makes it the most reviewed course of the ones considered.