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Вторник 31 Январь 2017, 18:30 - 20:00
Хиты : 219
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Presenter: Dmitry Yarotsky
Title: Expressiveness of shallow and deep neural networks: rigorous results
Аннотация:
I will discuss some classical and recent rigorous results on the expressive power of neural networks. In particular, I will explain a simple argument showing that deep ReLU networks are more efficient for approximation of smooth functions than shallow ReLU networks.
Title: Expressiveness of shallow and deep neural networks: rigorous results
Аннотация:
I will discuss some classical and recent rigorous results on the expressive power of neural networks. In particular, I will explain a simple argument showing that deep ReLU networks are more efficient for approximation of smooth functions than shallow ReLU networks.
Место ИППИ РАН в 615 аудитории (6 этаж)