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Publikováno v:
Electronic and Acoustic Engineering; Том 3, № 1 (2020); 34-37
Электронная и Акустическая Инженерия; Том 3, № 1 (2020); 34-37
Електронна та Акустична Інженерія; Том 3, № 1 (2020); 34-37
Электронная и Акустическая Инженерия; Том 3, № 1 (2020); 34-37
Електронна та Акустична Інженерія; Том 3, № 1 (2020); 34-37
Convolutional neural networks have reached a stage of development where they can be applied to tasks such as posture, face, voice and situation recognition with high accuracy, but inference of classic high precision models require a powerful server t