×

You are using an outdated browser Internet Explorer. It does not support some functions of the site.

Recommend that you install one of the following browsers: Firefox, Opera or Chrome.

Contacts:

+7 961 270-60-01
ivdon3@bk.ru

The influence of data set expansion methods on the quality of training neural network models. Adaptive data set expansion approach

Abstract

The influence of data set expansion methods on the quality of training neural network models. Adaptive data set expansion approach

Evdokimova T.S.

Incoming article date: 03.07.2024

The article analyzes the impact of transformation types on the learning quality of neural network classification models, and also suggests a new approach to expanding image sets using reinforcement learning.

Keywords: neural network model, training dataset, data set expansion, image transformation, recognition accuracy, reinforcement learning, image vector