Restricted Boltzmann Machines (RBMs) are like the H atom of Deep Learning. They are basically a solved problem, and while of…
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…
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…
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…
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…
When Regularization Fails
Another Holiday Blog: Feedback and Questions are very welcome. I have a client who is using Naive Bayes pretty successfully,…
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…
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…
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…
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