Similarity learning using deep neural networks - Jacek Komorowski

PyData Warsaw 2018

Deep neural network give very good results in visual object recognition tasks, but they require large number of training examples from each category. I'll present a class of neural network architectures, that can be used when only few training examples from each class are available. They are based on 'similarity learning' concept and can be used to solve various practical problems.
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