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Title:
Image classification with convolutional neural
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Uncontrolled Keywords:
Machine Learning ; Distributed Learning ; Supervised Learning ; classification ; Image Classification ; Deep Neural Networks ; Convolutional Neural Networks ; Tensorflow
Abstract:
The growing increase of demand in computer vision, arises the problem of handling specific algorithmic to this field. Image classification is one of these problems widely used in many applications. Starting from late 2000’s Neural Networks based algorithms perform best in this task. The most accurate results are obtained with help of Convolutional Neural Networks, which currently outperform all other algorithms, at least by accuracy. Nevertheless, they have problems connected with the memory use and training time, which in some cases are not acceptable. Thus there is a need for techniques for tackling with problem and fining tradeoff between complexity, time and accuracy.
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Journal or Publication Title:
Information Models and Analyses
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Affiliation:
Institute for Informatics and Automation Problems