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Waste Classification Using CNN Algorithm by lolyamelian45 is a document available to read on EtoBox.

The document presents a study on waste classification using a CNN algorithm, achieving an accuracy of 0.9969 and a loss of 0.0205. It emphasizes the importance of proper waste classification for environmental protection and discusses the challenges faced in implementing effective waste management strategies. The research aims to improve waste sorting efficiency through deep learning techniques, utilizing a dataset of 2000 images for model training and testing.

Author
lolyamelian45
Language
EN