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ISSN 2063-5346
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CONVOLUTIONAL NEURAL NETWORK FOR IMAGES CLASSIFICATION OF ENVIRONMENT AND MINING DAMAGE IN CROPS

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Emer Ronald Rosales Solórzano, Sulaya Betsabé Bayancela Delgado, Jhonny Marcelo Orozco Ramos, Gregory Guillermo Cuesta Andrade
» doi: 10.48047/ecb/2023.12.5.277

Abstract

We familiarize a working acing strategy with the CNN model to upgrade stamping precision up to a basic confine with the greatest productiveness. This paper gives far reaching parts of affirmation and preparing estimations of pictures, dependent upon the concealing, shape or job. Canvases also conveys an outline of the statute periods of affirmation and execution of figuring’s for picture preparing and affirmation, each of the picked up continually, just as the ones as of late offered for research and later managing. We blessing a framework and planning approach that relies upon the solid use of realities broadening to utilize the helpful remarked on tests the entirety of the more capably

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