A friend from grad school pointed out a great foundational paper on Boltzmann Machines. It is a 1987 paper from complex systems theory A Mean
Improving RBMs with physical chemistry
Restricted Boltzmann Machines (RBMs) are like the H atom of Deep Learning. They are basically a solved problem, and while of academic interest, not really used
MMDS 2016 Video Presentation
Why Deep Learning Works: Perspectives from Theoretical Chemistry:
on Cheap Learning: Partition Functions and RBMs
“Why does deep and cheap learning work so well?“ This is the question posed by a recent article. Deep Learning seems to require knowing the Partition
Why Deep Learning Works III: a preview
A preview of my upcoming talk at mmds this week: CC mmds talk 2106 from Charles Martin Stay tuned for a video link, and a
Tensorflow Reproductions: Big Deep Simple MNIST
I am starting a new project to try and reproduce some core deep learning papers in TensorFlow from some of the big names. The motivation:
