Sunday 11:45–12:30 in Auditorium (LYST DEEP LEARNING)

Finding needles in haystacks with Deep Neural Networks

Calvin Giles

Audience level:


With an inventory of millions of products, finding duplicates is intractable by hand. Neural networks can be used to learn a representation that maps duplicates close together in a manifold.


We trained a network to perform multi-task classification. Using this as a basis, we trained a manifold that maps images to a space where duplicates have a small distance and different products have a large distance.