Abstract:
In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training ...Show MoreMetadata
Abstract:
In this study, we trained a convolutional neural network to detect disease in tomato leaves and then examined the effect of hyperparameters and layers used when training a convolutional neural network on the trained model. In our study, it was observed that with hyperparameter tuning, it is possible to increase the validation accuracy of a CNN trained from scratch using the plantvillage dataset from 92% to 98%.
Date of Conference: 25-27 November 2021
Date Added to IEEE Xplore: 21 January 2022
ISBN Information: