Restricted Boltzmann Machines (RBMs) are like the H atom of Deep Learning. They are basically a solved problem, and while of … More
Author: Charles H Martin, PhD
AI / Machine Learning Enthusiast and Consultant
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 … More
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 … More
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 … More
Ask me anything … about machine learning
Today I am running an experiment and opening my blog to machine learning questions. Please ask questions in the … More
When Regularization Fails
Another Holiday Blog: Feedback and Questions are very welcome. I have a client who is using Naive Bayes pretty successfully, … More
Why Deep Learning Works II: the Renormalization Group
Deep Learning is amazing. But why is Deep Learning so successful? Is Deep Learning just old-school Neural Networks on modern … More
Why does Deep Learning work?
Why does Deep Learning work? This is the big question on everyone’s mind these days. C’mon we all know the … More
Convex Relaxations of Transductive Learning
Why are SVMs interesting? It is just a better way to do Logistic Regression? Is it the Kernel Trick? And … More
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