IMAGE PROCESSING USING TENSORFLOW AND CONVOLUTIONAL NETWORKS
DOI:
https://doi.org/10.24867/27BE14CanicKeywords:
Neural networks, Convolutional Neural Networks, neural network models, image recognitionAbstract
Machine learning is experiencing significant growth and application across a broad spectrum of problems in various industries. The proper functioning of a technical-technological system with a camera that uses machine learning technologies requires accurate image recognition. The current issue in the industry is defined as a classification problem in machine learning, which depends on the amount and processing of data, the complexity of the system, and other parameters.
References
[1] “TensorFlow” доступно: https://en.wikipedia.org/wiki/TensorFlow#Features приступано: август-2023
[2] “Learn Convolutional Neural Network (CNN) in your browser!” доступно: https://poloclub.github.io/cnn-explainer/, приступано: октобар-2023
[3] “Deep learning” доступно: https://en.wikipedia.org/wiki/Deep_learning, приступано: октобар-2023
[2] “Learn Convolutional Neural Network (CNN) in your browser!” доступно: https://poloclub.github.io/cnn-explainer/, приступано: октобар-2023
[3] “Deep learning” доступно: https://en.wikipedia.org/wiki/Deep_learning, приступано: октобар-2023
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Published
2024-06-05
Issue
Section
Electrotechnical and Computer Engineering
