Roger Grosse

I wrote detailed course notes for my undergrad neural nets course.

Metacademy roadmaps:

- Bayesian machine learning
- Deep learning
- Differential geometry for machine learning
- How to learn on your own

A tutorial on testing MCMC code.

Blog posts:

- [9/2/14]Which research results will generalize?
- [8/26/13] Prior knowledge and overfitting
- [6/10/13] Testing MCMC code, part 2: integration tests
- [5/20/13] Testing MCMC code, part 1: unit tests
- [4/29/13] Introspection in AI
- [4/8/13] Fisher information
- [3/18/13] Geometric means of distributions
- [2/25/13] What is representation learning?
- [2/4/13] Predictive learning vs. representation learning
- [1/14/13] Unbiased estimators of partition functions are basically lower bounds
- [12/14/12] The empirical science of machine learning: evaluating RBMs