CNN architectures used in this study.
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https://figshare.com/articles/dataset/CNN_architectures_used_in_this_study_/24185237
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资源简介：
The input size of both networks is 224x224x3. Conv2D represents 2D convolutioanl layer. Three following numbers denotes the kernel size, stride size and channel numbers. BN represents batch normalization. MaxPooling represents 2D max pooling layer. The following numbers denotes the pool size and stride size. Dropout represent dropout layer. The following number denotes dropout rate.
创建时间：
2023-09-22
