Deep Learning Reading List
Here are a bunch of resources for learning about Deep Learning and its applications.
Courses and Video Lectures
- Andrew Ng’s Introduction to Machine Learning
- Geoffrey Hinton’s Neural Networks for Machine Learning
- Hugo Larochelle’s Neural Networks class
- Yann LeCun’s Lectures at College de France
- Quoc Le’s Lectures on Deep Learning
- Yaser Abu-Mostafa’s Learning from Data
- Machine Learning at Oxford
- Vision and Learning at MIT
- CS231 at Stanford,its video lectures and aaditional material
- NVIDIA’s lectures on Deep Learning
- UC Berkeley’s course on Deep Reinfrocement Learning
- Machine Learning at CMU
Books
- Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
- Neural Networks and Deep Learning by Michael Nielsen
- Deep Learning by Microsoft Research
Blogs and Websites
- Andrej Karpathy’s blog
- Christopher Olah’s blog
- Eugenio Culurciello’s blog
- When Trees Fall
- I am trask
- Jonas Degrave’s blog
- Wild ML
- Deeplearning.net
- Tombone’s Computer Vision Blog
- UFDL Tutorial