This is a neural network that is based on the ResNet algorithm by He et al. The ResNet algorithm allows for training very deep neural networks without the problem of exploding/vanishing gradients.

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 ...

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, ...

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 ...

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 ...