The enhanced ResNet-50-based algorithm improved the top-1 accuracy by 1.02%, 2.92%, 3.30%, and 1.31%, respectively, over the traditional ResNet-50 algorithm in four medical image classification tasks, ...

ResNet-18 is a relatively lightweight version of ResNet making it faster to train and deploy. It tends to gereralize well on small to medium-sized datasets. It is the algorithm we use most freqently ...

Among the five modified ResNet algorithms with self-adjusting pooling layers designed in this study, the fifth modified scheme has the best performance on the training set. The model’s recognition ...

This article describes how to use the ResNet component in Azure Machine Learning designer, to create an image classification model using the ResNet algorithm.. This classification algorithm is a ...

With the increase of organic matter content in global water bodies, timely and accurate identification of algae objects in water bodies is of great significance for rapid treatment of water ...