Abstract
The paper presents recommendations for choosing a hardware resource when training neural networks. Analytical expressions are considered for calculating the computational complexity when deploying direct propagation neural networks of various dimensions. Some problems arising in the selection and configuration of hardware on which neural networks are trained are formulated. An assessment of the use of libraries/frameworks of various neural networks is given. A set of recommendations for the mutual arrangement of hardware modules is developed.
Published Version
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