NBDSM: Difference between revisions
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== What == | == What == | ||
nBDSM is the noiseBridge Deepnet and Statistical Mechanics working group. We meet weekly to learn, teach, and discuss topics | nBDSM is the noiseBridge Deepnet and Statistical Mechanics working group. We meet weekly to learn, teach, and discuss topics at the intersection of AI/deep learning and statistical mechanics. Note that we have a non-trivial overlap with the one, the only [https://www.noisebridge.net/wiki/DreamTeam Noisebridge DreamTeam]. | ||
== Prerequisites == | == Prerequisites == | ||
Revision as of 15:41, 3 May 2017
What
nBDSM is the noiseBridge Deepnet and Statistical Mechanics working group. We meet weekly to learn, teach, and discuss topics at the intersection of AI/deep learning and statistical mechanics. Note that we have a non-trivial overlap with the one, the only Noisebridge DreamTeam.
Prerequisites
Our discussions are usually at the level of a graduate student in machine learning or theoretical physics. To be able to get something out of our meetings, you should have at least an undergrad proficiency in
- linear algebra (at the level of D. Lay's book)
- single and multi-variable calculus, and vector calculus (all of Stewart)
- statistics, including bayesian
- statistical mechanics (at the level of McGreevy's MIT lecture notes)
Links
Here are some cool links (you can use these to figure out what to study to get up to speed)
- a great talk by Ganguli at last year's deep learning summer school in Montreal.
- anything recent by Ganguli at the Neural Dynamics and Computation Lab as well.
- Calculated Content
- the venerable colah's blog