\u7b80\u5355\u7684\u8bb2：\u56fe\u50cf\u662f\u7531\u50cf\u7d20\u70b9\u7ec4\u6210\u7684，\u6bcf\u4e2a\u50cf\u7d20\u70b9\u7684\u53d6\u503c\u8303\u56f4\u4e3a: [0, 255] \u3002\u50cf\u7d20\u503c\u8d8a\u63a5\u8fd1\u4e8e0，\u989c\u8272\u8d8a\u6697，\u63a5\u8fd1\u4e8e\u9ed1\u8272；\u50cf\u7d20\u503c\u8d8a\u63a5\u8fd1\u4e8e255，\u989c\u8272\u8d8a\u4eae，\u63a5\u8fd1\u4e8e\u767d\u8272\u3002<\/p>\n
\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d，\u6211\u4eec\u4f7f\u7528\u7684\u56fe\u50cf\u5927\u591a\u662f\u5f69\u8272\u56fe，\u5f69\u8272\u56fe\u7531RGB3\u4e2a\u901a\u9053\u7ec4\u6210<\/p>\n
1.3 \u56fe\u50cf\u52a0\u8f7d<\/h3>\n
import numpy as np
\nimport matplotlib.pyplot as plt<\/p>\n
# \u50cf\u7d20\u503c\u7684\u7406\u89e3
\ndef test01():
\n # \u51680\u6570\u7ec4\u662f\u9ed1\u8272\u7684\u56fe\u50cf
\n # H, W, C -> \u9ad8, \u5bbd, \u901a\u9053
\n img = np.zeros(shape=[200, 200, 3])
\n # \u5c55\u793a\u56fe\u50cf
\n plt.imshow(img)
\n # \u5bf9\u5750\u6807\u8f74\u8fdb\u884c\u8bbe\u7f6e
\n # off:\u5173\u95ed\u5750\u6807\u8f74
\n plt.axis("off")
\n plt.show()<\/p>\n
# \u5168255\u6570\u7ec4\u662f\u767d\u8272\u7684\u56fe\u50cf
\n img = np.full(shape=[200, 200, 3], fill_value=255)
\n # \u5c55\u793a\u56fe\u50cf
\n plt.imshow(img)
\n plt.show()<\/p>\n
# \u56fe\u50cf\u7684\u52a0\u8f7d
\ndef test02():
\n # \u8bfb\u53d6\u56fe\u50cf
\n img = plt.imread("data\/img.jpg")
\n # \u4fdd\u5b58\u56fe\u50cf
\n plt.imsave("data\/img1.jpg", img)
\n # \u6253\u5370\u56fe\u50cf\u5f62\u72b6 \u9ad8,\u5bbd,\u901a\u9053
\n print("\u56fe\u50cf\u7684\u5f62\u72b6(H, W, C):\\\\n", img.shape)
\n # \u5c55\u793a\u56fe\u50cf
\n plt.imshow(img)
\n plt.axis("off")
\n plt.show()<\/p>\n
if __name__ == '__main__':
\n test01()
\n test02()<\/p>\n
2 \u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u6982\u8ff0<\/h2>\n2.1\u00a0\u4ec0\u4e48\u662f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/h3>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u662f\u6df1\u5ea6\u5b66\u4e60\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u7a81\u7834\u6027\u6210\u679c，\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u3001\u89c6\u9891\u3001\u8bed\u97f3\u7b49\u6570\u636e\u7684\u795e\u7ecf\u7f51\u7edc<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（Convolutional Neural Network）\u662f\u542b\u6709\u5377\u79ef\u5c42\u7684\u795e\u7ecf\u7f51\u7edc\u3002\u5377\u79ef\u5c42\u7684\u4f5c\u7528\u5c31\u662f\u7528\u6765\u81ea\u52a8\u5b66\u4e60\u3001\u63d0\u53d6\u56fe\u50cf\u7684\u7279\u5f81\u3002<\/p>\n
CNN\u7f51\u7edc\u4e3b\u8981\u7531\u4e09\u90e8\u5206\u6784\u6210：\u5377\u79ef\u5c42\u3001\u6c60\u5316\u5c42\u548c\u5168\u8fde\u63a5\u5c42\u6784\u6210：<\/p>\n
（1）\u5377\u79ef\u5c42\u8d1f\u8d23\u63d0\u53d6\u56fe\u50cf\u4e2d\u7684\u5c40\u90e8\u7279\u5f81<\/p>\n
（2）\u6c60\u5316\u5c42\u7528\u6765\u5927\u5e45\u964d\u4f4e\u53c2\u6570\u91cf\u7ea7(\u964d\u7ef4)<\/p>\n
（3）\u5168\u8fde\u63a5\u5c42\u7c7b\u4f3c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u90e8\u5206，\u7528\u6765\u8f93\u51fa\u60f3\u8981\u7684\u7ed3\u679c<\/p>\n
2.2\u00a0\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5e94\u7528<\/h3>\n
\u56fe\u50cf\u5206\u7c7b：\u6700\u5e38\u89c1\u7684\u5e94\u7528，\u4f8b\u5982\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u7269\u4f53\u7c7b\u522b<\/p>\n
\u76ee\u6807\u68c0\u6d4b：\u68c0\u6d4b\u56fe\u50cf\u4e2d\u7269\u4f53\u7684\u4f4d\u7f6e\u548c\u7c7b\u522b<\/p>\n
\u56fe\u50cf\u5206\u5272：\u5c06\u56fe\u50cf\u5206\u6210\u591a\u4e2a\u533a\u57df，\u7528\u4e8e\u8bed\u4e49\u5206\u5272<\/p>\n
\u4eba\u8138\u8bc6\u522b：\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u4eba\u8138<\/p>\n
\u533b\u5b66\u56fe\u50cf\u5206\u6790：\u7528\u4e8e\u68c0\u6d4b\u533b\u5b66\u56fe\u50cf\u4e2d\u7684\u5f02\u5e38（\u5982\u764c\u75c7\u68c0\u6d4b\u3001\u9aa8\u6298\u68c0\u6d4b\u7b49）<\/p>\n
\u81ea\u52a8\u9a7e\u9a76：\u7528\u4e8e\u8bc6\u522b\u4ea4\u901a\u6807\u5fd7\u3001\u8f66\u8f86\u3001\u884c\u4eba<\/p>\n
2.3\u00a0CNN\u4e2d\u7684\u7ecf\u5178\u7b97\u6cd5\/\u7f51\u7edc\u67b6\u6784<\/h3>\n
LeNet-5:\u4f5c\u4e3a\u6700\u65e9\u7684CNN\u67b6\u6784\u4e4b\u4e00，\u8bc1\u660e\u4e86CNN\u5728\u56fe\u50cf\u8bc6\u522b\u4efb\u52a1\u4e0a\u7684\u6709\u6548\u6027，\u4e3a\u540e\u7eed\u7684CNN\u53d1\u5c55\u5960\u5b9a\u4e86\u57fa\u7840<\/p>\n
- \n
- \n
\u5377\u79ef\u5c42: \u63d0\u53d6\u56fe\u50cf\u7684\u8fb9\u7f18\u3001\u89d2\u70b9\u7b49\u57fa\u672c\u7279\u5f81<\/p>\n<\/li>\n
- \n
\u6c60\u5316\u5c42 (\u5b50\u91c7\u6837\u5c42): \u964d\u4f4e\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6，\u51cf\u5c11\u8ba1\u7b97\u91cf，\u5e76\u63d0\u9ad8\u6a21\u578b\u5bf9\u8f93\u5165\u56fe\u50cf\u5fae\u5c0f\u53d8\u5316\u7684\u9c81\u68d2\u6027<\/p>\n<\/li>\n
- \n
\u5168\u8fde\u63a5\u5c42: \u5c06\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u63d0\u53d6\u7684\u7279\u5f81\u8fdb\u884c\u7ec4\u5408，\u7528\u4e8e\u6700\u7ec8\u7684\u5206\u7c7b<\/p>\n<\/li>\n<\/ul>\n
AlexNet:\u663e\u8457\u63d0\u5347\u4e86ImageNet\u56fe\u50cf\u5206\u7c7b\u7684\u51c6\u786e\u7387，\u8bc1\u660e\u4e86\u6df1\u5ea6\u5b66\u4e60\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u6f5c\u529b，\u5e76\u63a8\u52a8\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u5feb\u901f\u53d1\u5c55<\/p>\n
- \n
- \n
\u5377\u79ef\u5c42: \u4f7f\u7528\u66f4\u5927\u7684\u5377\u79ef\u6838\u548c\u66f4\u591a\u7684\u5377\u79ef\u6838，\u63d0\u53d6\u66f4\u4e30\u5bcc\u7684\u56fe\u50cf\u7279\u5f81<\/p>\n<\/li>\n
- \n
ReLU\u6fc0\u6d3b\u51fd\u6570: \u52a0\u901f\u8bad\u7ec3\u8fc7\u7a0b，\u5e76\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd<\/p>\n<\/li>\n
- \n
\u6700\u5927\u6c60\u5316\u5c42: \u964d\u4f4e\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6<\/p>\n<\/li>\n
- \n
Dropout\u5c42: \u9632\u6b62\u8fc7\u62df\u5408<\/p>\n<\/li>\n
- \n
\u5168\u8fde\u63a5\u5c42: \u7528\u4e8e\u6700\u7ec8\u7684\u5206\u7c7b<\/p>\n<\/li>\n<\/ul>\n
VGGNet:\u63a2\u7d22\u4e86\u7f51\u7edc\u6df1\u5ea6\u5bf9\u6027\u80fd\u7684\u5f71\u54cd，\u8bc1\u660e\u4e86\u66f4\u6df1\u7684\u7f51\u7edc\u53ef\u4ee5\u63d0\u53d6\u66f4\u62bd\u8c61\u548c\u66f4\u5177\u8868\u8fbe\u529b\u7684\u7279\u5f81<\/p>\n
- \n
- \n
\u5377\u79ef\u5c42: \u4f7f\u7528\u66f4\u5c0f\u7684\u5377\u79ef\u6838 (3×3)，\u5e76\u5806\u53e0\u591a\u4e2a\u5377\u79ef\u5c42，\u589e\u52a0\u4e86\u7f51\u7edc\u7684\u6df1\u5ea6，\u63d0\u53d6\u66f4\u590d\u6742\u7684\u7279\u5f81<\/p>\n<\/li>\n
- \n
\u6700\u5927\u6c60\u5316\u5c42: \u964d\u4f4e\u7279\u5f81\u56fe\u7684\u7ef4\u5ea6<\/p>\n<\/li>\n
- \n
\u5168\u8fde\u63a5\u5c42: \u7528\u4e8e\u6700\u7ec8\u7684\u5206\u7c7b<\/p>\n<\/li>\n<\/ul>\n
GoogLeNet (Inception):\u63d0\u51fa\u4e86 Inception \u6a21\u5757，\u5728\u63d0\u9ad8\u6027\u80fd\u7684\u540c\u65f6\u51cf\u5c11\u4e86\u8ba1\u7b97\u91cf，\u4e3a\u540e\u7eed\u7684\u7f51\u7edc\u67b6\u6784\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def<\/p>\n
- \n
- \n
Inception \u6a21\u5757: \u5e76\u884c\u4f7f\u7528\u4e0d\u540c\u5927\u5c0f\u7684\u5377\u79ef\u6838\u548c\u6c60\u5316\u64cd\u4f5c，\u7136\u540e\u5c06\u5b83\u4eec\u7684\u8f93\u51fa\u8fde\u63a5\u8d77\u6765，\u589e\u52a0\u4e86\u7f51\u7edc\u7684\u5bbd\u5ea6，\u63d0\u9ad8\u4e86\u7f51\u7edc\u7684\u6548\u7387<\/p>\n<\/li>\n<\/ul>\n
ResNet:\u89e3\u51b3\u4e86\u6df1\u5ea6\u7f51\u7edc\u8bad\u7ec3\u56f0\u96be\u7684\u95ee\u9898，\u4f7f\u5f97\u53ef\u4ee5\u8bad\u7ec3\u66f4\u6df1\u7684\u7f51\u7edc，\u4ece\u800c\u663e\u8457\u63d0\u9ad8\u4e86\u6a21\u578b\u7684\u6027\u80fd<\/p>\n
- \n
- \n
\u6b8b\u5dee\u5757 (Residual Block): \u5f15\u5165\u8df3\u8dc3\u8fde\u63a5 (Shortcut Connection)，\u5141\u8bb8\u68af\u5ea6\u76f4\u63a5\u53cd\u5411\u4f20\u64ad\u5230\u6d45\u5c42，\u89e3\u51b3\u4e86\u6df1\u5ea6\u7f51\u7edc\u7684\u68af\u5ea6\u6d88\u5931\u95ee\u9898，\u4f7f\u5f97\u8bad\u7ec3\u975e\u5e38\u6df1\u7684\u7f51\u7edc\u6210\u4e3a\u53ef\u80fd<\/p>\n<\/li>\n<\/ul>\n
DenseNet:<\/p>\n
- \n
- \n
\u5bc6\u96c6\u5757 (Dense Block): \u5c06\u6bcf\u4e00\u5c42\u90fd\u4e0e\u4e4b\u524d\u7684\u6240\u6709\u5c42\u8fde\u63a5，\u7279\u5f81\u91cd\u7528\u66f4\u52a0\u5145\u5206，\u8fdb\u4e00\u6b65\u63d0\u9ad8\u4e86\u7f51\u7edc\u7684\u6027\u80fd\u548c\u53c2\u6570\u6548\u7387<\/p>\n<\/li>\n
- \n
DenseNet\u901a\u8fc7\u5bc6\u96c6\u8fde\u63a5（Dense Connectivity）\u5728\u7f51\u7edc\u4e2d\u5404\u5c42\u4e4b\u95f4\u5efa\u7acb\u4e86\u76f4\u63a5\u7684\u8fde\u63a5，\u5373\u6bcf\u4e00\u5c42\u90fd\u63a5\u6536\u524d\u9762\u6240\u6709\u5c42\u7684\u8f93\u51fa\u4f5c\u4e3a\u8f93\u5165\u3002\u8fd9\u79cd\u8bbe\u8ba1\u589e\u5f3a\u4e86\u7279\u5f81\u4f20\u9012\u548c\u68af\u5ea6\u6d41\u52a8，\u907f\u514d\u4e86\u68af\u5ea6\u6d88\u5931\u95ee\u9898，\u5e76\u63d0\u9ad8\u4e86\u4fe1\u606f\u7684\u5229\u7528\u7387<\/p>\n<\/li>\n<\/ul>\n
2.4 \u5377\u79ef\u5c42<\/h3>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5377\u79ef\u5c42（Convolutional Layer）\u901a\u8fc7\u5377\u79ef\u64cd\u4f5c\u63d0\u53d6\u8f93\u5165\u6570\u636e\u4e2d\u7684\u7279\u5f81（\u4f8b\u5982\u56fe\u50cf\u4e2d\u7684\u8fb9\u7f18\u3001\u7eb9\u7406\u3001\u5f62\u72b6\u7b49）\u3002<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5377\u79ef\u5c42\u5229\u7528\u5377\u79ef\u6838（\u6ee4\u6ce2\u5668）\u5bf9\u8f93\u5165\u8fdb\u884c\u5904\u7406，\u4ece\u800c\u751f\u6210\u7279\u5f81\u56fe（feature map），\u5e76\u4e14\u6bcf\u4e2a\u5377\u79ef\u5c42\u80fd\u591f\u63d0\u53d6\u4e0d\u540c\u5c42\u6b21\u7684\u7279\u5f81，\u4ece\u4f4e\u7ea7\u7279\u5f81（\u5982\u8fb9\u7f18）\u5230\u9ad8\u7ea7\u7279\u5f81（\u5982\u7269\u4f53\u7684\u5f62\u72b6）\u3002<\/p>\n
\u5377\u79ef\u5c42\u7684\u4e3b\u8981\u4f5c\u7528\u5982\u4e0b：<\/p>\n
- \n
- \n
\u7279\u5f81\u63d0\u53d6：\u5377\u79ef\u5c42\u7684\u4e3b\u8981\u4f5c\u7528\u662f\u4ece\u8f93\u5165\u56fe\u50cf\u4e2d\u63d0\u53d6\u4f4e\u7ea7\u7279\u5f81（\u5982\u8fb9\u7f18\u3001\u89d2\u70b9\u3001\u7eb9\u7406\u7b49）\u3002\u901a\u8fc7\u591a\u4e2a\u5377\u79ef\u5c42\u7684\u5806\u53e0，\u7f51\u7edc\u80fd\u591f\u9010\u6e10\u4ece\u4f4e\u7ea7\u7279\u5f81\u5230\u9ad8\u7ea7\u7279\u5f81（\u5982\u7269\u4f53\u7684\u5f62\u72b6\u3001\u533a\u57df\u7b49）\u8fdb\u884c\u5b66\u4e60\u3002<\/p>\n<\/li>\n
- \n
\u6743\u91cd\u5171\u4eab：\u5728\u5377\u79ef\u5c42\u4e2d，\u540c\u4e00\u4e2a\u5377\u79ef\u6838\u5728\u6574\u4e2a\u8f93\u5165\u56fe\u50cf\u4e0a\u5171\u4eab\u6743\u91cd，\u8fd9\u4f7f\u5f97\u5377\u79ef\u5c42\u7684\u53c2\u6570\u6570\u91cf\u5927\u5927\u51cf\u5c11，\u51cf\u5c11\u4e86\u8ba1\u7b97\u91cf\u5e76\u63d0\u9ad8\u4e86\u8bad\u7ec3\u6548\u7387\u3002<\/p>\n<\/li>\n
- \n
\u5c40\u90e8\u8fde\u63a5：\u5377\u79ef\u5c42\u4e2d\u7684\u6bcf\u4e2a\u795e\u7ecf\u5143\u4ec5\u4e0e\u8f93\u5165\u56fe\u50cf\u7684\u4e00\u4e2a\u5c0f\u5c40\u90e8\u533a\u57df\u76f8\u8fde，\u8fd9\u79f0\u4e3a\u5c40\u90e8\u611f\u53d7\u91ce，\u8fd9\u79cd\u5c40\u90e8\u8fde\u63a5\u65b9\u5f0f\u66f4\u7b26\u5408\u56fe\u50cf\u7684\u7a7a\u95f4\u7ed3\u6784，\u6709\u52a9\u4e8e\u6355\u6349\u56fe\u50cf\u4e2d\u7684\u5c40\u90e8\u7279\u5f81\u3002<\/p>\n<\/li>\n
- \n
\u7a7a\u95f4\u4e0d\u53d8\u6027：\u7531\u4e8e\u5377\u79ef\u64cd\u4f5c\u662f\u5c40\u90e8\u7684\u5e76\u4e14\u91c7\u7528\u6743\u91cd\u5171\u4eab，\u5377\u79ef\u5c42\u5728\u5904\u7406\u56fe\u50cf\u65f6\u5177\u6709\u5e73\u79fb\u4e0d\u53d8\u6027\u3002\u4e5f\u5c31\u662f\u8bf4，\u4e0d\u8bba\u7269\u4f53\u51fa\u73b0\u5728\u56fe\u50cf\u7684\u54ea\u4e2a\u4f4d\u7f6e，\u5377\u79ef\u5c42\u90fd\u80fd\u6709\u6548\u5730\u68c0\u6d4b\u5230\u8fd9\u4e9b\u7269\u4f53\u7684\u7279\u5f81\u3002<\/p>\n<\/li>\n<\/ul>\n
2.5\u00a0Padding（\u586b\u5145）<\/h3>\n
\u901a\u8fc7\u4e0a\u9762\u7684\u5377\u79ef\u8ba1\u7b97\u8fc7\u7a0b，\u6700\u7ec8\u7684\u7279\u5f81\u56fe\u6bd4\u539f\u59cb\u56fe\u50cf\u5c0f\u5f88\u591a，\u5982\u679c\u60f3\u8981\u4fdd\u6301\u7ecf\u8fc7\u5377\u79ef\u540e\u7684\u56fe\u50cf\u5927\u5c0f\u4e0d\u53d8, \u53ef\u4ee5\u5728\u539f\u56fe\u5468\u56f4\u6dfb\u52a0 Padding \u6765\u5b9e\u73b0\u3002<\/p>\n
Padding（\u586b\u5145）\u64cd\u4f5c\u662f\u4e00\u79cd\u7528\u4e8e==\u5728\u8f93\u5165\u7279\u5f81\u56fe\u7684\u8fb9\u754c\u5468\u56f4\u6dfb\u52a0\u989d\u5916\u50cf\u7d20（\u901a\u5e38\u662f\u96f6）==\u3002<\/p>\n
Padding\u7684\u4e3b\u8981\u4f5c\u7528：<\/p>\n
- \n
- \n
\u4fdd\u6301\u7a7a\u95f4\u7ef4\u5ea6：\u5982\u679c\u4e0d\u4f7f\u7528 padding，\u6bcf\u6b21\u5377\u79ef\u64cd\u4f5c\u540e，\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\u90fd\u4f1a\u7f29\u5c0f\u3002\u591a\u6b21\u5377\u79ef\u540e，\u7279\u5f81\u56fe\u4f1a\u53d8\u5f97\u975e\u5e38\u5c0f，\u53ef\u80fd\u4f1a\u4e22\u5931\u91cd\u8981\u7684\u8fb9\u7f18\u4fe1\u606f\u3002Padding\u53ef\u4ee5\u5e2e\u52a9\u7ef4\u6301\u8f93\u51fa\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\u4e0e\u8f93\u5165\u76f8\u540c\u6216\u63a5\u8fd1\u76f8\u540c\u3002<\/p>\n<\/li>\n
- \n
\u4fdd\u7559\u8fb9\u7f18\u4fe1\u606f：\u56fe\u50cf\u8fb9\u7f18\u7684\u50cf\u7d20\u5728\u5377\u79ef\u8fc7\u7a0b\u4e2d\u53c2\u4e0e\u7684\u8ba1\u7b97\u6b21\u6570\u8f83\u5c11，\u8fd9\u610f\u5473\u7740\u8fb9\u7f18\u4fe1\u606f\u5728\u7279\u5f81\u63d0\u53d6\u8fc7\u7a0b\u4e2d\u5bb9\u6613\u4e22\u5931\u3002Padding\u901a\u8fc7\u5728\u8fb9\u7f18\u6dfb\u52a0\u989d\u5916\u7684\u50cf\u7d20，\u589e\u52a0\u4e86\u8fb9\u7f18\u50cf\u7d20\u7684\u53c2\u4e0e\u5ea6，\u4ece\u800c\u66f4\u597d\u5730\u4fdd\u7559\u4e86\u8fb9\u7f18\u4fe1\u606f\u3002<\/p>\n<\/li>\n
- \n
\u63d0\u9ad8\u6027\u80fd：Padding\u6709\u52a9\u4e8e\u907f\u514d\u7531\u4e8e\u7279\u5f81\u56fe\u5c3a\u5bf8\u5feb\u901f\u7f29\u5c0f\u800c\u5bfc\u81f4\u7684\u4fe1\u606f\u4e22\u5931，\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd，\u5c24\u5176\u662f\u5728\u5904\u7406\u8f83\u5c0f\u7684\u56fe\u50cf\u6216\u9700\u8981\u8fdb\u884c\u591a\u5c42\u5377\u79ef\u65f6\u3002<\/p>\n<\/li>\n<\/ul>\n
Padding\u7684\u7c7b\u578b：<\/p>\n
- \n
- \n
Valid Padding (No Padding): \u4e0d\u8fdb\u884c\u4efb\u4f55\u586b\u5145\u3002\u5377\u79ef\u6838\u53ea\u5728\u8f93\u5165\u56fe\u50cf\u7684\u6709\u6548\u533a\u57df\u5185\u6ed1\u52a8\u3002\u8f93\u51fa\u5c3a\u5bf8\u4f1a\u7f29\u5c0f\u3002<\/p>\n<\/li>\n
- \n
Same Padding: \u6dfb\u52a0\u8db3\u591f\u7684\u586b\u5145，\u4f7f\u5f97\u8f93\u51fa\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\u4e0e\u8f93\u5165\u76f8\u540c\u3002<\/p>\n<\/li>\n
- \n
Full Padding: \u5c3d\u53ef\u80fd\u591a\u5730\u6dfb\u52a0\u586b\u5145，\u4f7f\u5f97\u5377\u79ef\u6838\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u81f3\u5c11\u5728\u8f93\u5165\u56fe\u50cf\u4e0a\u6ed1\u52a8\u4e00\u6b21\u3002\u8f93\u51fa\u5c3a\u5bf8\u4f1a\u589e\u5927\u3002<\/p>\n<\/li>\n<\/ul>\n
Padding\u7684\u9009\u62e9：\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u7f51\u7edc\u67b6\u6784<\/p>\n
- \n
- \n
Valid Padding: \u9002\u7528\u4e8e\u4e0d\u9700\u8981\u4fdd\u6301\u8f93\u51fa\u5c3a\u5bf8\u7684\u573a\u666f，\u6216\u8005\u8f93\u5165\u56fe\u50cf\u8db3\u591f\u5927，\u8fb9\u7f18\u4fe1\u606f\u4e22\u5931\u4e0d\u91cd\u8981\u7684\u60c5\u51b5\u3002<\/p>\n<\/li>\n
- \n
Same Padding: \u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cdCNN\u67b6\u6784\u4e2d，\u56e0\u4e3a\u5b83\u53ef\u4ee5\u4fdd\u6301\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8，\u65b9\u4fbf\u7f51\u7edc\u8bbe\u8ba1\u548c\u8ba1\u7b97\u3002<\/p>\n<\/li>\n
- \n
Full Padding: \u8f83\u5c11\u4f7f\u7528，\u56e0\u4e3a\u5b83\u4f1a\u589e\u52a0\u8ba1\u7b97\u91cf，\u5e76\u4e14\u53ef\u80fd\u4f1a\u5728\u8fb9\u7f18\u5f15\u5165\u4e00\u4e9b\u4f2a\u5f71\u3002<\/p>\n<\/li>\n<\/ul>\n
2.5 Stride（\u6b65\u957f）<\/h3>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Stride（\u6b65\u957f）\u6307\u7684\u662f\u5377\u79ef\u6838\u5728\u56fe\u50cf\u4e0a\u6ed1\u52a8\u65f6\u7684\u6b65\u4f10\u5927\u5c0f，\u5373\u6bcf\u6b21\u5377\u79ef\u65f6\u5377\u79ef\u6838\u5728\u56fe\u50cf\u4e2d\u5411\u53f3（\u6216\u5411\u4e0b）\u79fb\u52a8\u7684\u50cf\u7d20\u6570\u3002\u6b65\u957f\u76f4\u63a5\u5f71\u54cd\u5377\u79ef\u64cd\u4f5c\u540e\u8f93\u51fa\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8，\u4ee5\u53ca\u8ba1\u7b97\u91cf\u548c\u6a21\u578b\u7684\u7279\u5f81\u63d0\u53d6\u80fd\u529b\u3002<\/p>\n
2.6 \u7279\u5f81\u56fe\u5927\u5c0f<\/h3>\n
\u8f93\u51fa\u7279\u5f81\u56fe\u7684\u5927\u5c0f\u4e0e\u4ee5\u4e0b\u53c2\u6570\u606f\u606f\u76f8\u5173:<\/p>\n
1. size: \u5377\u79ef\u6838\/\u8fc7\u6ee4\u5668\u5927\u5c0f，\u4e00\u822c\u4f1a\u9009\u62e9\u4e3a\u5947\u6570，\u6bd4\u5982\u6709 `1*1`, `3*3`， `5*5` 2. Padding: \u96f6\u586b\u5145\u7684\u65b9\u5f0f\u00a0 3. Stride: \u6b65\u957f<\/p>\n
\u90a3\u8ba1\u7b97\u65b9\u6cd5\u5982\u4e0b\u56fe\u6240\u793a:<\/p>\n
1. \u8f93\u5165\u56fe\u50cf\u5927\u5c0f: W x W 2. \u5377\u79ef\u6838\u5927\u5c0f: F x F 3. Stride: S 4. Padding: P 5. \u8f93\u51fa\u56fe\u50cf\u5927\u5c0f: N x N<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260906143317-6a9d79ad530f0.png\")
<\/p>\n\u4ee5\u4e0b\u56fe\u4e3a\u4f8b:<\/p>\n
1. \u56fe\u50cf\u5927\u5c0f: 5 x 5 2. \u5377\u79ef\u6838\u5927\u5c0f: 3 x 3 3. Stride: 1 4. Padding: 1 5. (5 – 3 + 2) \/ 1 + 1 = 5（\u5982\u679c\u9664\u4e0d\u5c3d\u5411\u4e0b\u53d6\u6574）, \u5373\u5f97\u5230\u7684\u7279\u5f81\u56fe\u5927\u5c0f\u4e3a: 5 x 5<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260906143317-6a9d79ad7fee7.png\")
<\/p>\n2.7 PyTorch\u5377\u79ef\u5c42API<\/h3>\n
conv = nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding)<\/p>\n
"""
\n\u53c2\u6570\u8bf4\u660e：
\nin_channels: \u8f93\u5165\u901a\u9053\u6570，RGB\u56fe\u7247\u4e00\u822c\u662f3
\nout_channels: \u8f93\u51fa\u901a\u9053，\u4e5f\u53ef\u4ee5\u7406\u89e3\u4e3a\u5377\u79ef\u6838kernel\u7684\u6570\u91cf
\nkernel_size：\u5377\u79ef\u6838\u7684\u9ad8\u548c\u5bbd\u8bbe\u7f6e，\u4e00\u822c\u4e3a3,5,7…
\nstride：\u5377\u79ef\u6838\u79fb\u52a8\u7684\u6b65\u957f
\n\u6574\u6570stride：\u8868\u793a\u5728\u6240\u6709\u7ef4\u5ea6\u4e0a\u4f7f\u7528\u76f8\u540c\u7684\u6b65\u957f stride=2 \u8868\u793a\u5728\u6c34\u5e73\u548c\u5782\u76f4\u65b9\u5411\u4e0a\u6bcf\u6b21\u79fb\u52a82\u4e2a\u50cf\u7d20
\n\u5143\u7ec4stride: \u5141\u8bb8\u5728\u4e0d\u540c\u7ef4\u5ea6\u4e0a\u8bbe\u7f6e\u4e0d\u540c\u7684\u6b65\u957f stride=(2, 1) \u8868\u793a\u5728\u6c34\u5e73\u65b9\u5411\u4e0a\u6b65\u957f\u4e3a2，\u5728\u5782\u76f4\u65b9\u5411\u4e0a\u6b65\u957f\u4e3a1
\npadding：\u5728\u56db\u5468\u52a0\u5165padding\u7684\u6570\u91cf，\u9ed8\u8ba4\u88650
\npadding=0：\u4e0d\u8fdb\u884c\u586b\u5145\u3002
\npadding=1：\u5728\u6bcf\u4e2a\u7ef4\u5ea6\u4e0a\u586b\u5145 1 \u4e2a\u50cf\u7d20（\u5e38\u7528\u4e8e\u4fdd\u6301\u8f93\u51fa\u5c3a\u5bf8\u4e0e\u8f93\u5165\u76f8\u540c padding=\u8f93\u5165\u5f62\u72b6\u5927\u5c0f-\u8f93\u51fa\u5f62\u72b6\u5927\u5c0f）\u3002
\npadding='same'（\u4ece PyTorch 1.9+ \u5f00\u59cb\u652f\u6301）：\u8ba9\u8f93\u51fa\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\u4e0e\u8f93\u5165\u4fdd\u6301\u4e00\u81f4\u3002PyTorch\u4f1a\u81ea\u52a8\u8ba1\u7b97\u9700\u8981\u7684\u586b\u5145\u91cf\u3002stride\u5fc5\u987b\u7b49\u4e8e1，\u4e0d\u652f\u6301\u8de8\u884c，\u56e0\u4e3a\u8ba1\u7b97padding\u65f6\u53ef\u80fd\u51fa\u73b0\u5c0f\u6570
\npadding=kernel_size-1：Full Padding \u5b8c\u5168\u586b\u5145
\n"""<\/p>\n2.8 \u591a\u901a\u9053\u591a\u5377\u79ef\u6838\u5377\u79ef<\/h3>\n
import torch
\nimport torch.nn as nn
\nimport matplotlib.pyplot as plt<\/p>\n# \u5bf9\u56fe\u50cf\u8fdb\u884c\u5377\u79ef
\n# 1 \u8bfb\u53d6\u56fe\u50cf \u663e\u793a\u56fe\u50cf
\n# 2 \u5b9a\u4e49\u5377\u79ef\u5c42
\n# 3 \u53d8\u6362\u6570\u636e\u5f62\u72b6 1-\u8f6c\u6210tensor 2-\u901a\u9053\u8981\u6c42[C H W] 3-\u6279\u6b21\u6570\u8981\u6c42 [batch, C, H, W]
\n# 4 \u7ed9\u5377\u79ef\u5c42\u5582\u6570\u636e [1, 3, 640, 640] —> [1, 4, 319, 319])
\n# (H-F+2p)\/s +1 = (640-3+0)\/2 + 1 = 319.5\u5411\u4e0b\u53d6\u6574319
\ndef test01():<\/p>\n# 1 \u8bfb\u53d6\u56fe\u50cf
\n img = plt.imread('.\/data\/img.jpg')
\n print('img.shape', img.shape)<\/p>\nplt.imshow(img)
\n plt.show()<\/p>\n# 2 \u5b9a\u4e49\u5377\u79ef\u5c42
\n myconv2d = nn.Conv2d(in_channels=3, out_channels=4, kernel_size=3, stride=2, padding=0)
\n print('myconv2d—>', myconv2d)<\/p>\n# 3 \u53d8\u6362\u6570\u636e\u5f62\u72b6
\n# \u2460\u8f6c\u6362\u6210tensor
\n # \u2461\u901a\u9053\u8981\u6c42[C, H, W], \u9ed8\u8ba4[H, W, C]
\n # \u2462\u6279\u6b21\u6570\u8981\u6c42[batch, C, H, W],\u591a\u5c11\u4e2a\u56fe\u50cf(\u4e00\u4e2a\u56fe\u50cf\u662f\u4e09\u7ef4\u6570\u7ec4,\u56db\u7ef4\u6709\u591a\u5c11\u4e2a\u4e09\u7ef4\u5c31\u662f\u591a\u5c11\u4e2a\u56fe\u50cf)
\n # [0, 1, 2] –> [2, 0, 1]
\n img2 = torch.tensor(img).permute(2, 0, 1)
\n print('img2.shape—>', img2.shape)
\n# \u56fe\u50cf\u6570\u4e3a1,\u53d8\u4e3a4\u7ef4\u5f20\u91cf
\n img3 = img2.unsqueeze(0)
\n print('img3.shape—>', img3.shape)<\/p>\n# 4 \u7ed9\u5377\u79ef\u5c42\u5582\u6570\u636e [1, 3, 640, 640] —> [1, 4, 319, 319])
\n # (H-F+2p)\/s + 1 = (640-3+0)\/2 + 1 = 319.5\u5411\u4e0b\u53d6\u6574319
\n img4 = myconv2d(img3.type(torch.float32))
\n print('img4–>', img4.shape)<\/p>\nif __name__ == '__main__':
\n test01() <\/p>\n3 \u6c60\u5316\u5c42<\/h2>\n
\u6c60\u5316\u5c42（Pooling Layer）\u662f\u7528\u4e8e\u964d\u4f4e\u8f93\u5165\u6570\u636e\u7684\u7a7a\u95f4\u7ef4\u5ea6（\u4f8b\u5982\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6），\u4ece\u800c\u51cf\u5c11\u8ba1\u7b97\u91cf\u3001\u51cf\u5c11\u5185\u5b58\u6d88\u8017，\u5e76\u63d0\u9ad8\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3002<\/p>\n
\u6c60\u5316\u5c42\u901a\u5e38\u4f4d\u4e8e\u5377\u79ef\u5c42\u4e4b\u540e，\u5b83\u901a\u8fc7\u5bf9\u5377\u79ef\u5c42\u8f93\u51fa\u7684\u7279\u5f81\u56fe\u8fdb\u884c\u4e0b\u91c7\u6837，\u4fdd\u7559\u6700\u91cd\u8981\u7684\u7279\u5f81\u4fe1\u606f，\u540c\u65f6\u4e22\u5f03\u4e00\u4e9b\u4e0d\u91cd\u8981\u7684\u7ec6\u8282\u3002<\/p>\n
\u6c60\u5316\u5c42\u7684\u4e3b\u8981\u4f5c\u7528\u5982\u4e0b:<\/p>\n
– **\u964d\u7ef4\u548c\u8ba1\u7b97\u91cf\u51cf\u5c11**：\u6c60\u5316\u5c42\u901a\u8fc7\u51cf\u5c11\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8，\u4ece\u800c\u964d\u4f4e\u4e86\u8ba1\u7b97\u91cf，\u7279\u522b\u662f\u5728\u591a\u5c42\u7f51\u7edc\u4e2d，\u968f\u7740\u5c42\u6570\u7684\u589e\u52a0，\u6c60\u5316\u80fd\u591f\u663e\u8457\u51cf\u5c11\u8ba1\u7b97\u8d44\u6e90\u7684\u6d88\u8017\u3002<\/p>\n
– **\u63d0\u9ad8\u9c81\u68d2\u6027**：\u6c60\u5316\u64cd\u4f5c\u53ef\u4ee5\u4f7f\u5f97\u7279\u5f81\u5bf9\u5c0f\u7684\u53d8\u6362\u3001\u5e73\u79fb\u548c\u65cb\u8f6c\u53d8\u5f97\u66f4\u52a0\u4e0d\u654f\u611f\u3002\u8fd9\u6837，\u6a21\u578b\u5728\u9762\u5bf9\u566a\u58f0\u6216\u56fe\u50cf\u7684\u8f7b\u5fae\u53d8\u5316\u65f6，\u4f9d\u7136\u80fd\u591f\u7a33\u5b9a\u5de5\u4f5c\u3002<\/p>\n
– **\u9632\u6b62\u8fc7\u62df\u5408**：\u901a\u8fc7\u6c60\u5316\u51cf\u5c11\u4e86\u7279\u5f81\u56fe\u7684\u5927\u5c0f，\u51cf\u5c11\u4e86\u6a21\u578b\u7684\u590d\u6742\u5ea6，\u4ece\u800c\u6709\u52a9\u4e8e\u9632\u6b62\u8fc7\u62df\u5408，\u5c24\u5176\u662f\u5728\u8f83\u5c0f\u7684\u6570\u636e\u96c6\u4e0a\u3002<\/p>\n
– **\u62bd\u8c61\u7279\u5f81**：\u901a\u8fc7\u6c60\u5316\u5c42\u7684\u64cd\u4f5c，\u53ef\u4ee5\u63d0\u53d6\u66f4\u4e3a\u62bd\u8c61\u548c\u9ad8\u5c42\u6b21\u7684\u7279\u5f81，\u4f7f\u5f97\u7f51\u7edc\u80fd\u591f\u5b66\u4e60\u5230\u66f4\u5177\u6cdb\u5316\u80fd\u529b\u7684\u8868\u793a\u3002<\/p>\n
3.1 \u6c60\u5316\u5c42\u8ba1\u7b97<\/h3>\n
\u6700\u5927\u6c60\u5316(Max Pooling) ：\u901a\u8fc7\u6c60\u5316\u7a97\u53e3\u8fdb\u884c\u6700\u5927\u6c60\u5316，**\u53d6\u7a97\u53e3\u4e2d\u7684\u6700\u5927\u503c\u4f5c\u4e3a\u8f93\u51fa**<\/p>\n
\u5e73\u5747\u6c60\u5316(Avg Pooling) ：**\u53d6\u7a97\u53e3\u5185\u7684\u6240\u6709\u503c\u7684\u5747\u503c\u4f5c\u4e3a\u8f93\u51fa**<\/p>\n
3.2\u00a0\u591a\u901a\u9053\u6c60\u5316\u8ba1\u7b97<\/h3>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5728\u5904\u7406\u591a\u901a\u9053\u8f93\u5165\u6570\u636e\u65f6，\u6c60\u5316\u5c42\u5bf9\u6bcf\u4e2a\u8f93\u5165\u901a\u9053\u5206\u522b\u6c60\u5316，\u800c\u4e0d\u662f\u50cf\u5377\u79ef\u5c42\u90a3\u6837\u5c06\u5404\u4e2a\u901a\u9053\u7684\u8f93\u5165\u76f8\u52a0\u3002\u8fd9\u610f\u5473\u7740==\u6c60\u5316\u5c42\u7684\u8f93\u51fa\u548c\u8f93\u5165\u7684\u901a\u9053\u6570\u662f\u76f8\u7b49\u3002==<\/p>\n
**\u6c60\u5316\u53ea\u5728\u5bbd\u9ad8\u7ef4\u5ea6\u4e0a\u6c60\u5316**，**\u5728\u901a\u9053\u4e0a\u662f\u4e0d\u53d1\u751f\u6c60\u5316<\/span>**（\u6c60\u5316\u524d\u540e，\u591a\u5c11\u4e2a\u901a\u9053\u8fd8\u662f\u591a\u5c11\u4e2a\u901a\u9053）<\/p>\n
3.3\u00a0PyTorch\u6c60\u5316\u5c42API<\/h3>\n
\u5728PyTorch\u4e2d\u8fdb\u884c\u6c60\u5316\u7684API\u662f：<\/p>\n
# \u6700\u5927\u6c60\u5316
\nnn.MaxPool2d(kernel_size=2, stride=2, padding=1)
\n# \u5e73\u5747\u6c60\u5316
\nnn.AvgPool2d(kernel_size=2, stride=1, padding=0)
\n"""
\n\u53c2\u6570\u8bf4\u660e：
\nkernel_size：\u6838\u7684\u9ad8\u548c\u5bbd\u8bbe\u7f6e，\u4e00\u822c\u4e3a3,5,7…
\nstride：\u6838\u79fb\u52a8\u7684\u6b65\u957f
\npadding：\u5728\u56db\u5468\u52a0\u5165padding\u7684\u6570\u91cf，\u9ed8\u8ba4\u88650
\n"""<\/p>\n#\u5355\u901a\u9053\u6c60\u5316
\nimport torch
\nimport torch.nn as nn<\/p>\n# 1. \u5355\u901a\u9053\u6c60\u5316
\n# \u5b9a\u4e49\u8f93\u5165\u6570\u636e [1,3,3]
\ninputs = torch.tensor([[[0, 1, 2], [3, 4, 5], [6, 7, 8]]], dtype=torch.float)
\n# \u4fee\u6539stride，padding\u89c2\u5bdf\u6548\u679c
\n# 1. \u6700\u5927\u6c60\u5316
\npooling = nn.MaxPool2d(kernel_size=2, stride=1, padding=0)
\noutput = pooling(inputs)
\nprint("\u6700\u5927\u6c60\u5316：\\\\n", output)
\n# 2. \u5e73\u5747\u6c60\u5316
\npooling = nn.AvgPool2d(kernel_size=2, stride=1, padding=0)
\noutput = pooling(inputs)
\nprint("\u5e73\u5747\u6c60\u5316：\\\\n", output)<\/p>\n#\u591a\u901a\u9053\u6c60\u5316
\n# 2. \u591a\u901a\u9053\u6c60\u5316
\n# \u5b9a\u4e49\u8f93\u5165\u6570\u636e [3,3,3]
\ninputs = torch.tensor([[[0, 1, 2], [3, 4, 5], [6, 7, 8]],
\n [[10, 20, 30], [40, 50, 60], [70, 80, 90]],
\n [[11, 22, 33], [44, 55, 66], [77, 88, 99]]], dtype=torch.float)
\n# \u6700\u5927\u6c60\u5316
\npooling = nn.MaxPool2d(kernel_size=2, stride=1, padding=0)
\noutput = pooling(inputs)
\nprint("\u591a\u901a\u9053\u6c60\u5316：\\\\n", output)<\/p>\n","protected":false},"excerpt":{"rendered":"1 \u56fe\u50cf\u57fa\u7840\u77e5\u8bc6
\n1.1 \u56fe\u50cf\u57fa\u672c\u6982\u5ff5 \u56fe\u50cf\u662f\u4eba\u7c7b\u89c6\u89c9\u7684\u57fa\u7840，\u662f\u81ea\u7136\u666f\u7269\u7684\u5ba2\u89c2\u53cd\u6620，\u662f\u4eba\u7c7b\u8ba4\u8bc6\u4e16\u754c\u548c\u4eba\u7c7b\u672c\u8eab\u7684\u91cd\u8981\u6e90\u6cc9\u3002\u201c\u56fe\u201d\u662f\u7269\u4f53\u53cd\u5c04\u6216\u900f\u5c04\u5149\u7684\u5206\u5e03，\u201c\u50cf\u201c\u662f\u4eba\u7684\u89c6\u89c9\u7cfb\u7edf\u6240\u63a5\u53d7\u7684\u56fe\u5728\u4eba\u8111\u4e2d\u6240\u5f62\u6210\u7684\u5370\u8c61\u6216\u8ba4\u8bc6，\u7167\u7247\u3001\u7ed8\u753b\u3001\u526a\u8d34\u753b\u3001\u5730\u56fe\u3001\u4e66\u6cd5\u4f5c\u54c1\u3001\u624b\u5199\u6c49\u5b57\u3001\u4f20\u771f\u3001\u536b\u661f\u4e91\u56fe\u3001\u5f71\u89c6\u753b\u9762\u3001X\u5149\u7247\u3001\u8111\u7535\u56fe\u3001\u5fc3\u7535\u56fe\u7b49\u90fd\u662f\u56fe\u50cf\u3002
\n1.2 \u56fe\u50cf\u7c7b\u578b
\n\u56fe\u50cf\u7c7b\u578b\u901a\u9053\u6570\u50cf\u7d20\u503c\u8303\u56f4\u4e3b\u8981\u7279\u70b9\u5e38\u89c1\u7528\u9014\u4e8c\u503c\u56fe\u50cf1\u901a\u90530 \u6216 1\u6bcf\u4e2a\u50cf\u7d20\u53ea\u6709\u9ed1\u4e0e\u767d<\/p>\n","protected":false},"author":2,"featured_media":101475,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50,523],"topic":[],"class_list":["post-101477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-50","tag-523"],"yoast_head":"\n\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/101477.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"1 \u56fe\u50cf\u57fa\u7840\u77e5\u8bc6 1.1 \u56fe\u50cf\u57fa\u672c\u6982\u5ff5 \u56fe\u50cf\u662f\u4eba\u7c7b\u89c6\u89c9\u7684\u57fa\u7840，\u662f\u81ea\u7136\u666f\u7269\u7684\u5ba2\u89c2\u53cd\u6620，\u662f\u4eba\u7c7b\u8ba4\u8bc6\u4e16\u754c\u548c\u4eba\u7c7b\u672c\u8eab\u7684\u91cd\u8981\u6e90\u6cc9\u3002\u201c\u56fe\u201d\u662f\u7269\u4f53\u53cd\u5c04\u6216\u900f\u5c04\u5149\u7684\u5206\u5e03，\u201c\u50cf\u201c\u662f\u4eba\u7684\u89c6\u89c9\u7cfb\u7edf\u6240\u63a5\u53d7\u7684\u56fe\u5728\u4eba\u8111\u4e2d\u6240\u5f62\u6210\u7684\u5370\u8c61\u6216\u8ba4\u8bc6，\u7167\u7247\u3001\u7ed8\u753b\u3001\u526a\u8d34\u753b\u3001\u5730\u56fe\u3001\u4e66\u6cd5\u4f5c\u54c1\u3001\u624b\u5199\u6c49\u5b57\u3001\u4f20\u771f\u3001\u536b\u661f\u4e91\u56fe\u3001\u5f71\u89c6\u753b\u9762\u3001X\u5149\u7247\u3001\u8111\u7535\u56fe\u3001\u5fc3\u7535\u56fe\u7b49\u90fd\u662f\u56fe\u50cf\u3002 1.2 \u56fe\u50cf\u7c7b\u578b \u56fe\u50cf\u7c7b\u578b\u901a\u9053\u6570\u50cf\u7d20\u503c\u8303\u56f4\u4e3b\u8981\u7279\u70b9\u5e38\u89c1\u7528\u9014\u4e8c\u503c\u56fe\u50cf1\u901a\u90530 \u6216 1\u6bcf\u4e2a\u50cf\u7d20\u53ea\u6709\u9ed1\u4e0e\u767d\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/101477.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-06T14:33:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260906143317-6a9d79ad530f0.png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/101477.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/101477.html\",\"name\":\"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-09-06T14:33:18+00:00\",\"dateModified\":\"2026-09-06T14:33:18+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/101477.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/101477.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/101477.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/101477.html","og_locale":"zh_CN","og_type":"article","og_title":"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"1 \u56fe\u50cf\u57fa\u7840\u77e5\u8bc6 1.1 \u56fe\u50cf\u57fa\u672c\u6982\u5ff5 \u56fe\u50cf\u662f\u4eba\u7c7b\u89c6\u89c9\u7684\u57fa\u7840，\u662f\u81ea\u7136\u666f\u7269\u7684\u5ba2\u89c2\u53cd\u6620，\u662f\u4eba\u7c7b\u8ba4\u8bc6\u4e16\u754c\u548c\u4eba\u7c7b\u672c\u8eab\u7684\u91cd\u8981\u6e90\u6cc9\u3002\u201c\u56fe\u201d\u662f\u7269\u4f53\u53cd\u5c04\u6216\u900f\u5c04\u5149\u7684\u5206\u5e03，\u201c\u50cf\u201c\u662f\u4eba\u7684\u89c6\u89c9\u7cfb\u7edf\u6240\u63a5\u53d7\u7684\u56fe\u5728\u4eba\u8111\u4e2d\u6240\u5f62\u6210\u7684\u5370\u8c61\u6216\u8ba4\u8bc6，\u7167\u7247\u3001\u7ed8\u753b\u3001\u526a\u8d34\u753b\u3001\u5730\u56fe\u3001\u4e66\u6cd5\u4f5c\u54c1\u3001\u624b\u5199\u6c49\u5b57\u3001\u4f20\u771f\u3001\u536b\u661f\u4e91\u56fe\u3001\u5f71\u89c6\u753b\u9762\u3001X\u5149\u7247\u3001\u8111\u7535\u56fe\u3001\u5fc3\u7535\u56fe\u7b49\u90fd\u662f\u56fe\u50cf\u3002 1.2 \u56fe\u50cf\u7c7b\u578b \u56fe\u50cf\u7c7b\u578b\u901a\u9053\u6570\u50cf\u7d20\u503c\u8303\u56f4\u4e3b\u8981\u7279\u70b9\u5e38\u89c1\u7528\u9014\u4e8c\u503c\u56fe\u50cf1\u901a\u90530 \u6216 1\u6bcf\u4e2a\u50cf\u7d20\u53ea\u6709\u9ed1\u4e0e\u767d","og_url":"https:\/\/www.wsisp.com\/helps\/101477.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-09-06T14:33:18+00:00","og_image":[{"url":"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260906143317-6a9d79ad530f0.png"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"4 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/101477.html","url":"https:\/\/www.wsisp.com\/helps\/101477.html","name":"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-09-06T14:33:18+00:00","dateModified":"2026-09-06T14:33:18+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/101477.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/101477.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/101477.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/101477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=101477"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/101477\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media\/101475"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=101477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=101477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=101477"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=101477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n
- \n