The article presents an overview and analysis of the use of graphics processing units (GPUs) using artificial neural networks. The author explores the main advantages and applications of graphics processing units using neural networks. The uniqueness of the work lies in the analysis of the possibilities of using graphics processors using artificial neural networks, their advantages and relevance, as well as the scope of their application. The article is relevant because with the growth of data volumes and the complexity of models, conventional processors (CPUs) cannot cope with high computational loads. Graphics processing units provide powerful resources for parallel data processing.
graphics processors, neural networks, artificial intelligence, data, training
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