Optimizing Convolutional Neural Networks: A Comparative Study of Gradient-Descent, Adam, and RMSprop Optimizers for Accuracy and Loss in Apple Leaf Disease Detection
Research article (2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), 2024) · cited 10× · AI/ML
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Optimizing Convolutional Neural Networks: A Comparative Study of Gradient-Descent, Adam, and RMSprop Optimizers for Accuracy and Loss in Apple Leaf Disease Detection
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Optimizing Convolutional Neural Networks: A Comparative Study of Gradient-Descent, Adam, and RMSprop Optimizers for Accuracy and Loss in Apple Leaf Disease Detection is a scholarly article[1].
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- Optimizing Convolutional Neural Networks: A Comparative Study of Gradient-Descent, Adam, and RMSprop Optimizers for Accuracy and Loss in Apple Leaf Disease Detection's instance of is recorded as scholarly article[2].