Brendan Fortuner

Brendan Fortuner

on a sabbatical in machine learning

Bio: On sabbatical for projects and coursework in Deep Learning. When I return I will be looking for startup opportunities in the Bay Area, size 25-500 employees, using Deep Learning to solve problems in medicine, IoT, enterprise, security, and industrial.

Can neural networks solve any problem?

Can neural networks solve any problem?

Visualizing the Universal Approximation Theorem At some point in your deep learning journey you probably came across the Universal Approximation Theorem. A feedforward network with a single layer is sufficient to represent any function, but the layer may be infeasibly large and may fail to learn and generalize correctly. — Ian Goodfellow, DLB This is an […]

Linear algebra cheat sheet for Deep Learning

Linear algebra cheat sheet for Deep Learning

Beginner’s guide to commonly used operations During Jeremy Howard’s excellent deep learning course I realized I was a little rusty on the prerequisites and my fuzziness was impacting my ability to understand concepts like backpropagation. I decided to put together a few wiki pages on these topics to improve my understanding. Here is a very […]