from torchvision import models from summary import summary  vgg = models.vgg16() summary(vgg, (3, 224, 224))  ----------------------------------------------------------------         Layer (type)               Output Shpae         Param # ================================================================             Conv2d-1         [-1, 64, 224, 224]            1792               ReLU-2         [-1, 64, 224, 224]               0             Conv2d-3         [-1, 64, 224, 224]           36928               ReLU-4         [-1, 64, 224, 224]               0          MaxPool2d-5         [-1, 64, 112, 112]               0             Conv2d-6        [-1, 128, 112, 112]           73856               ReLU-7        [-1, 128, 112, 112]               0             Conv2d-8        [-1, 128, 112, 112]          147584               ReLU-9        [-1, 128, 112, 112]               0         MaxPool2d-10          [-1, 128, 56, 56]               0            Conv2d-11          [-1, 256, 56, 56]          295168              ReLU-12          [-1, 256, 56, 56]               0            Conv2d-13          [-1, 256, 56, 56]          590080              ReLU-14          [-1, 256, 56, 56]               0            Conv2d-15          [-1, 256, 56, 56]          590080              ReLU-16          [-1, 256, 56, 56]               0         MaxPool2d-17          [-1, 256, 28, 28]               0            Conv2d-18          [-1, 512, 28, 28]         1180160              ReLU-19          [-1, 512, 28, 28]               0            Conv2d-20          [-1, 512, 28, 28]         2359808              ReLU-21          [-1, 512, 28, 28]               0            Conv2d-22          [-1, 512, 28, 28]         2359808              ReLU-23          [-1, 512, 28, 28]               0         MaxPool2d-24          [-1, 512, 14, 14]               0            Conv2d-25          [-1, 512, 14, 14]         2359808              ReLU-26          [-1, 512, 14, 14]               0            Conv2d-27          [-1, 512, 14, 14]         2359808              ReLU-28          [-1, 512, 14, 14]               0            Conv2d-29          [-1, 512, 14, 14]         2359808              ReLU-30          [-1, 512, 14, 14]               0         MaxPool2d-31            [-1, 512, 7, 7]               0            Linear-32                 [-1, 4096]       102764544              ReLU-33                 [-1, 4096]               0           Dropout-34                 [-1, 4096]               0            Linear-35                 [-1, 4096]        16781312              ReLU-36                 [-1, 4096]               0           Dropout-37                 [-1, 4096]               0            Linear-38                 [-1, 1000]         4097000 ================================================================ Total params: 138357544 Trainable params: 138357544 Non-trainable params: 0 ----------------------------------------------------------------

Read more of this post