根据Resnet论文复现 Resnet50 Restnet101 Resnet152 pytorch实现_resnet50、101、150

根据Resnet论文复现 Resnet50 Restnet101 Resnet152

Resnet的构成

代码

import torch
import torch.nn as nn
from torch.nn import (
    Module,
    Conv2d,
    MaxPool2d,
    AvgPool2d,
    Linear,
    Softmax,
    ReLU,
    BatchNorm2d,
    Sequential
)


def Conv1(in_channel=3, out_channel=64, kernel_size=(7, 7), stride=2, padding=3):
    return Sequential(
        Conv2d(in_channels=in_channel, out_channels=out_channel, kernel_size=kernel_size, stride=stride, padding=padding),
        MaxPool2d(kernel_size=(3, 3), stride=2, padding=1)
    )


class BottleNeck(Module):
    def __init__(self, in_channel, out_channel, stride=1, downsampling=False, expansion=4):
        super(BottleNeck, self).__init__()
        self
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