Calvin Giles - Finding needles in haystacks with Deep Neural Networks
PyData London 2016
Description
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.
Abstract
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.
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Calvin Giles - Finding needles in haystacks with Deep Neural Networks