As the performance of a convolutional neural network is logarithmically proportional to the amount of training data. data augmentation has attracted increasing attention in recent years. Although the current data augmentation methods are efficient because they force the network to learn multiple parts of a given training image through occlusion or re-editing. most of them can damage t... https://www.hindigyanvishv.com/best-buy-Big-Sur-After-Rain-Hand-Soap-amazing-deal/