Project based on the paper Distilling the Knowledge in a Neural Network of Geoffrey Hinton, Oriol Vinyals, Jeff Dean. The idea is to use a big artificial neural network and to distill its knowledges to a smaller one. Knowledge transfer increases performance of small models, enables the efficient usage in production phase where computation power is limited.
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