Implementasi Algoritma Convolution Neural Network pada Klasifikasi Limbah dengan Arsitektur MobileNet
DOI:
https://doi.org/10.56655/winco.v4i1.196Keywords:
deep learning, CNN, MobileNetAbstract
The waste recycling process can be used as a solution to dealing with waste problems in general. The waste recycling process requires a waste sorting process based on the type of waste. Waste has a lot of negatif impacts on the environment. The negatif impacts can be in the form of air, air and land pollution. By using deep learning-based technology, waste can be classified based on its type. Convolutional Neural Network (CNN) is a deep learning method that is widely used in image classification. Waste classification can help society and the government overcome the negatif impacts of waste. This research uses a CNN architecture, namely MobileNet, for waste image recognition. By using MobileNet, the accuracy results obtained were 93%.
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