I recently found some good resources to learn deep learning. I would like to share my findings here:
- Representation Learning: A Review and New Perspectives: This is a good paper to start learning the history of deep learning. It includes references of important papers that make deep learning popular. One thing I really appreciate about the paper is that it uses PCA, one of the well-known algorithms, to learn deep learning in depth. It also provides references to important results of deep learning in many real-world problems. It is a long paper to read but it is definitely worth the time.
- Deep Learning Tutorial: If you want some background trainings in deep learning, this is a good place to start. It goes through the math behind it and have some exercises. Although it is academic-driven, it is necessary to understand the theory behind applying it in some real world problems.
