Brandon Ballinger is a cofounder at Cardiogram. Previously, Brandon was a cofounder at Sift Science and an engineer at Google on speech recognition and ads quality. He was also one of the engineers called in by the White House to help fix Healthcare.gov. Brandon holds a BS in computer science from the University of Washington.
1:45pm–2:25pm Tuesday, September 19, 2017
Deep learning with limited labelled data
Location: Yosemite BC
Secondary topics: Data and training, Medicine
Avesh Singh (Cardiogram), Brandon Ballinger (Cardiogram)
Deep learning is fuelled by large labelled datasets, but in domains like medicine, each label represents a human life at risk. Avesh Singh and Brandon Ballinger offer an overview of auto encoders, heuristic training, and few-shot learning, with an emphasis on practical tips to create high-performing models utilizing hundreds of thousands of unlabelled data points and only thousands of labelled points.