This paper proposes a Convolutional Neural Network (CNN) model for detecting diseases in cotton plants. The model implements in proposed work utilize transfer learning technique, leveraging pre-trained model that have been trained on extensive datasets. Specifically, the Resnet152v2 model serves as ...
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MachineLP/train_cnn-rnn 自己搭建的一个训练框架,包含模型有:cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU)等。 此框架主要针对分类任务, 后面会陆续搭建多...
This study compares the performance of two CNN architectures, ResNet101V2 and ResNet152V2, in identifying TB bacteria in microscopic images. ResNet152V2 shows better results with an accuracy of 83.86%, precision of 100.00%, recall of 66.39%, and an F1-score of 80.00%. Despite requiring ...
This research presents a modified ResNet152v2 framework designed to enhance the precision and efficiency of bird species classification. By leveraging advanced deep learning techniques, this framework aims to support conservation efforts by facilitating the accurate monitoring and protection of diverse avian...
The experimental result shows the accuracy of VGG16, ResNet152V2, and MobileNetV2 are 98.5%, 98.0%, and 99.5% respectively. Therefore, MobileNetV2 not only gives the best accuracy than others but also uses the lowest parameters which are effective in computation time and proper to mobile ...
The primary objective is to design and deploy this modified ResNet152v2 model for pneumonia prediction from chest X-rays, achieving high accuracy while minimizing computational complexity and reducing computation time. This model outperformed well when compared with the existing methods and produced ...
tensorflow搭建的一个训练框架,包含模型有:vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2等。 此框架主要针对分类任务, 后面会陆续搭建多任务多标签、检测、以及rnn等框架,欢迎关注。 使用说明:搭建时使用的环境为:Python3.5, tensorflow1.4 具体...
自己搭建的一个训练框架,包含模型有:cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention等。
resnet152v2_weights_tf_dim_ordering_tf_kernels_notop.h5(234.55 MB) get_app fullscreen chevron_right Unable to show preview Unexpected end of JSON input Data Explorer Version 1 (234.55 MB) insert_drive_file resnet152v2_weights_tf_dim_ordering_tf_kernels_notop.h5 Summary arrow_right folder ...