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 ...
An Effective Intrusion Detection System for Edge Computing Using ConvNeXt and ResNet152V2 来自 EBSCO 喜欢 0 阅读量: 10 作者:VS Balusa,K Srinivas 摘要: The proliferation of edge computing, driven by network applications and wireless devices, increases the vulnerability of confidential information to...
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...
The experimental outcomes demonstrate an impressive 100% overall accuracy in type comparison using ResNet152V2, thereby substantiating its viability as a model for mammogram type detection and classification. This study thus provides a compelling argument for the application of ResNet152V2 in...
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 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 ...
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 ...
Explore and run machine learning code with Kaggle Notebooks | Using data from Weather Image Recognition
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...
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,...