Spring 2019:
MA 59800 Mathematical Aspects of Neural Networks
Instructor: Greg Buzzard
Resources
The list of papers for presentations has some relevant papers. There are many more in this annotated bibliography.
Here are some additional textbooks and other references:
- Deep Learning Tutorial. Tutorial with code using Theano
- A Brief Introduction to Neural Networks, David Kriesel. Includes history, theory, and practice.
- Deep learning in neural networks: An overview, Jürgen Schmidhuber. The author's web page includes lots of history and references.
- Understanding Machine Learning: From Theory to Algorithms
- Stanford CS 231n, Spring 2018
- Andrew Ng's Machine learning course on Coursera
There are many more resources available online.