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GeezerVison is showing github.com — GitHub - sharmaroshan/Weed-Detection: This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks. Folders and files
Repository files navigationThis Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks. AboutThis Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks. Topicsbatchnormalizationclassificationcnncropsdeeplearningdropoutfarmersfield-datasetimageclassificationkerasmulticlass-classificationvisualization ResourcesCode of conductContributingReleasesPackagesContributorsLanguages | ||||||||||||||||||||||||||||||||||||||||||||||||
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