Convolutional neural network applied to handwritten digits recognition
O.P. Soldatova, A.A. Garshin

Samara State Aerospace University

Full text of article: Russian language.

Abstract:
The capabilities of convolutional neural networks for recognizing handwritten digits. The technique of training networks, which implements the alternating periods of training with and without distortion of characters. The technique of selection and modification of learning rate. The neural network is tested by using the standard database of handwritten digits (MNIST), the results of experimental investigation are presented.

Key words:
recognizing handwritten digits, convolutional neural network, the MNIST database, elastic distortions, generalization ability of neural network.

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