How deep should be the depth of convolutional neural networks: a backyard dog case study

A. N. Gorban, E. M. Mirkes, I. Y. Tyukin

The work concerns the problem of reducing a pre-trained deep neuronal network to a smaller network, with just few layers, whilst retaining the network's functionality on a given ta…