ResNet34:

第一部分:第一个卷积

  • Conv1: 64 channels, kernel size 7x7, stride 2

第二部分:最大池化和Layer1

  • MaxPool: kernel size 3x3, stride 2
  • Layer1: 64 channels, 3 blocks, each block has 2 conv layers with 64 channels

第三部分:Layer2

  • Layer2: 128 channels, 4 blocks, each block has 2 conv layers with 128 channels

第四部分:Layer3

  • Layer3: 256 channels, 6 blocks, each block has 2 conv layers with 256 channels

第五部分:Layer4

  • Layer4: 512 channels, 3 blocks, each block has 2 conv layers with 512 channels

ResNet50:

第一部分:第一个卷积

  • Conv1: 64 channels, kernel size 7x7, stride 2

第二部分:最大池化和Layer1

  • MaxPool: kernel size 3x3, stride 2
  • Layer1: 256 channels, 3 blocks, first block has 1 conv layer with 64 channels, followed by 2 conv layers with 64 channels in each block

第三部分:Layer2

  • Layer2: 512 channels, 4 blocks, first block has 1 conv layer with 128 channels, followed by 2 conv layers with 128 channels in each block

第四部分:Layer3

  • Layer3: 1024 channels, 6 blocks, first block has 1 conv layer with 256 channels, followed by 2 conv layers with 256 channels in each block

第五部分:Layer4

  • Layer4: 2048 channels, 3 blocks, first block has 1 conv layer with 512 channels, followed by 2 conv layers with 512 channels in each bloc
resnet34与50对应层的通道数输出我需要分为五部分第一是第一个卷积第二是最大池化和layer1第三第四第五分别是layer2layer3layer4

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