AlexNet网络中的5个卷积层的特征图可视化

Make_magic

于 2024-05-10 13:06:49 发布

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分类专栏：神经网络文章标签：计算机视觉人工智能

本文链接：https://blog.youkuaiyun.com/qq_50993557/article/details/138661723

版权

import torch
import torch.nn as nn
import torchvision.transforms as transforms
from PIL import Image
import os
import numpy as np
import matplotlib.pyplot as plt

# 定义AlexNet网络
class AlexNet(nn.Module):
    def __init__(self, num_classes=1000):
        super(AlexNet, self).__init__()
        self.features = nn.Sequential(
            nn.Conv2d(3, 48, kernel_size=11, stride=4, padding=2),
            nn.ReLU(inplace=True),
            nn.MaxPool2d(kernel_size=3, stride=2),
            nn.Conv2d(48, 128, kernel_size=5, padding=2),
            nn.ReLU(inplace=True),
            nn.MaxPool2d(kernel_size=3, stride