Biological Particle Identification and Tracking with Jay Newby – TWiML Talk #179

In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying deep learning to biology, including his paper “Deep neural networks automate detection for tracking…

Backpropagation explained | Part 3 – Mathematical observations

In our last video, we focused on the mathematical notation and definitions that we would be using going forward to show how backpropagation mathematically works to calculate the gradient of the loss function. We’ll start making use of what we learned and applying it in…