{"id":1502,"date":"2020-09-03T15:12:02","date_gmt":"2020-09-03T07:12:02","guid":{"rendered":"http:\/\/home.wangjianshuo.com\/cn\/?p=1502"},"modified":"2020-09-03T15:12:02","modified_gmt":"2020-09-03T07:12:02","slug":"%e5%8d%b7%e7%a7%af%e7%bd%91%e7%bb%9c-cnn-%e5%ad%a6%e4%b9%a0%e7%ac%94%e8%ae%b0%e4%b9%8b%e4%b8%80%ef%bc%9a%e6%88%91%e4%bb%ac%e6%98%af%e6%80%8e%e4%b9%88%e8%ae%a4%e8%af%860%e7%9a%84","status":"publish","type":"post","link":"https:\/\/home.wangjianshuo.com\/cn\/20200903_%e5%8d%b7%e7%a7%af%e7%bd%91%e7%bb%9c-cnn-%e5%ad%a6%e4%b9%a0%e7%ac%94%e8%ae%b0%e4%b9%8b%e4%b8%80%ef%bc%9a%e6%88%91%e4%bb%ac%e6%98%af%e6%80%8e%e4%b9%88%e8%ae%a4%e8%af%860%e7%9a%84.htm","title":{"rendered":"\u5377\u79ef\u7f51\u7edc CNN \u5b66\u4e60\u7b14\u8bb0\u4e4b\u4e00\uff1a\u6211\u4eec\u662f\u600e\u4e48\u8ba4\u8bc60\u7684"},"content":{"rendered":"
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\u9898\u56fe\uff1aAirbnb\u603b\u90e8\u00a0\u7ed8\u4e8e\uff1a2020\u5e743\u6708<\/span><\/p>\n

\u6700\u8fd1\u5728\u505a\u4eba\u5de5\u667a\u80fd\u65b9\u9762\u7684\u63a2\u7d22\u7684\u65f6\u5019\uff0c\u6df1\u611f\u80fd\u627e\u5230\u7684\u6750\u6599\u4e2d\uff0c\u6309\u7167\u4e00\u5b9a\u6b65\u9aa4\u7f16\u7a0b\u5c31\u80fd\u5f97\u51fa\u7ed3\u679c\u7684\u4fe1\u606f\u5f88\u591a\uff0c\u4f46\u5927\u5bb6\u90fd\u628a\u8fd9\u4e2a\u8fc7\u7a0b\u89c6\u4e3a\u4e00\u4e2a\u9ed1\u76d2\u5b50\uff0c\u5e38\u8bf4\uff0c\u8fd9\u4e2a\u8fc7\u7a0b\u6211\u4eec\u5c31\u4e0d\u77e5\u9053\u4e3a\u4ec0\u4e48\u4e86\uff0c\u53cd\u6b63\u7ed3\u679c\u5c31\u662f\u8ba1\u7b97\u673a\u6709\u667a\u80fd\u4e86\u3002<\/p>\n

\u6211\u5f53\u7136\u4e0d\u6ee1\u8db3\u4e8e\u8fd9\u4e2a\u7b54\u6848\uff0c\u4e8e\u662f\u628aYouTube\u4e0a\u9762\u5173\u4e8e\u5377\u79ef\u7f51\u7edc\uff08 Convolutional Neural Network \uff09\u7684\u5927\u91cf\u89c6\u9891\u770b\u5b8c\u4e86\u4ee5\u540e\uff0c\u4f9d\u7136\u89c9\u5f97\u7f3a\u5c11\u4e00\u4e9b\u5173\u4e8e\u201c\u4eba\u5de5\u667a\u80fd\u5230\u5e95\u662f\u600e\u4e48\u5de5\u4f5c\u7684<\/span>\u201d\u8fd9\u4e2a\u95ee\u9898\u8bb2\u6e05\u695a\u7684\u8d44\u6599\u3002<\/p>\n

\u81f3\u4e8e\u5b8c\u5168\u4e0d\u8ba8\u8bba\u4ee3\u7801\uff0c\u4ec5\u4ec5\u5728\u5f88\u9ad8\u7684\u5c42\u9762\u4e0a\u5927\u8bb2\u4eba\u5de5\u667a\u80fd\u5bf9\u4e8e\u4eba\u7c7b\u7684\u5f71\u54cd\u7684\u4e66\uff0c\u5b9e\u5728\u5bf9\u4e8e\u6211\u8fd9\u79cd\u5e0c\u671b\u52a8\u624b\u642d\u5efa\u4e00\u4e9b\u4e1c\u897f\u7684\u4eba\u6765\u8bf4\uff0c\u5e2e\u52a9\u66f4\u52a0\u6709\u9650\u3002<\/p>\n

\u8fd9\u4e5f\u5c31\u662f\u6211\u60f3\u5199\u4e00\u4e9b\u6587\u7ae0\uff0c\u628a\u6211\u7684\u5173\u4e8e\u4eba\u5de5\u667a\u80fd\u7684 \u201c\u4eba\u6587\u65b9\u9762\u7684\u601d\u8003\u201d \u548c \u201c\u4ee3\u7801\u5b9e\u8df5\u201d\u00a0\u7ed3\u5408\u5728\u4e00\u8d77\u6765\u7684\u539f\u56e0\u3002<\/p>\n

\u6700\u7b80\u5355\u7684\u95ee\u9898<\/strong><\/p>\n

\u4e3a\u4e86\u56de\u7b54\u201c\u4eba\u5de5\u667a\u80fd\u5230\u5e95<\/span>\u662f\u600e\u4e48\u8ba4\u8bc6\u4e8b\u7269\u7684\u201d\uff0c\u6211\u4eec\u53ef\u4ee5\u4ece\u4eba\u5de5\u667a\u80fd\u5c4a\u7684 Hello World \u7684\u4f8b\u5b50\uff08\u6ce8\u2460\uff09\u6765\u5f00\u59cb\u5c1d\u8bd5\u56de\u7b54\u3002\u8fd9\u4e2a\u4f8b\u5b50\uff0c\u5c31\u662f\u00a0MNIST \u7684\u6570\u636e\u96c6\u8bad\u7ec3\u8bc6\u522b 0 – 9 \u7684\u624b\u5199\u6570\u5b57\u3002<\/p>\n

MNIST \u6570\u636e\u96c6<\/strong><\/p>\n

\u4eba\u5de5\u667a\u80fd\u9886\u57df\u548c\u4f20\u7edf\u7684\u7f16\u7a0b\u9886\u57df\u5f88\u5927\u7684\u4e00\u4e2a\u533a\u522b\u5728\u4e8e\u6570\u636e\u548c\u4ee3\u7801\u7684\u5360\u6bd4\u3002\u60f3\u8c61\u4e00\u4e0b\uff0c\u4f20\u7edf\u7684\u7f16\u7a0b\u4e2d\uff0c\u4f30\u8ba1 90% \u7684\u7a0b\u5e8f\u5185\u5bb9\u662f\u4ee3\u7801\uff0c\u800c\u4ee3\u7801\u4e2d\u5404\u79cd\u5e38\u91cf\u4ece\u5b58\u50a8\u89d2\u5ea6\u5360\u7684\u6bd4\u4f8b\u6216\u8bb8\u4e0d\u5230 10%\u00a0\u3002\u800c\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0c\u4ee3\u7801\u6bd4\u8f83\u5c11\uff0c\u5927\u5934\u662f\u6570\u636e\u3002\u4ee5 Glove \u4e3a\u4f8b\uff0c\u4ee3\u7801\u53ea\u6709 100K \uff0c\u4f46\u662f\u8bad\u7ec3\u6570\u636e\u96c6\u662f\u6765\u81ea\u4e92\u8054\u7f51\u7684 60 \u4ebf\u4e2a\u5355\u8bcd\uff0c\u8bad\u7ec3\u7ed3\u679c\u662f 1 G \u7684\u6570\u636e\u3002\u4ee3\u7801\u548c\u6570\u636e\u7684\u6bd4\u4f8b\u5c31\u53cd\u8fc7\u6765\u4e86\uff0c99.999%\u662f\u6570\u636e\uff0c0.001% \u4e0d\u5230\u662f\u4ee3\u7801\u3002<\/p>\n

\u4eba\u5de5\u667a\u80fd\u9886\u57df\u5f88\u591a\u7684\u6570\u636e\u96c6\u90fd\u662f\u4ee5\u6570\u636e\u7684\u6765\u6e90\u7684\u673a\u6784\u547d\u540d\u7684\u3002MNIST \uff08Modified National Institute of Stands and Technology\uff09\u5c31\u662f\u8fd9\u4e48\u4e2a\u539f\u59cb\u6570\u636e\u96c6\u3002\u5b83\u5305\u542b\u7528\u4e8e\u8bad\u7ec3\u7684\u516d\u4e07\u4e2a\u624b\u5199\u7684\u6570\u5b57\u7684\u56fe\u50cf\uff0c\u4ee5\u53ca\u56fe\u50cf\u5bf9\u5e94\u7684\u6570\u5b57\uff08\u8fd9\u4e2a\u7b97\u662f\u6b63\u786e\u7b54\u6848\uff09\uff0c\u8fd8\u5305\u542b\u4e00\u4e07\u5bf9\u7528\u6765\u6d4b\u8bd5\u51c6\u786e\u5ea6\u7684\u540c\u6837\u7ed3\u6784\u7684\u56fe\u50cf\u548c\u6b63\u786e\u7b54\u6848\u3002<\/p>\n

\u8fd9\u4e9b\u56fe\u50cf\u5f97\u6765\u7684\u8fc7\u7a0b\u5f88\u5de7\u5999\uff0c\u662f\u4ece\u7f8e\u56fd\u666e\u67e5\u5c40\u6536\u96c6\u7684\u673a\u8bfb\u5361\u91cc\u9762\u91c7\u6837\u7684\uff0c\u5c31\u662f\u90a3\u79cd\u9ad8\u8003\u65f6\u7528\u7684\u5361\u7247\uff0c\u4e0a\u9762\u624b\u5199\u81ea\u5df1\u7684\u8003\u53f7\uff0c\u7136\u540e\u628a\u5bf9\u5e94\u7684\u6570\u5b57\u65c1\u8fb9\u7684\u9ed1\u8272\u692d\u5706\u75282B\u94c5\u7b14\u6d82\u9ed1\u3002\u8fd9\u6837\u5b50\u4e0d\u5c31\u6709\u4e86\u4e00\u4e2a\u5929\u7136\u7684\u624b\u5199\u4f53\u56fe\u50cf\u548c\u6b63\u786e\u7b54\u6848\u7684\u5bf9\u5e94\u7684\u6570\u636e\u5417\uff1f\u6709\u4eba\u5c31\u628a60000\u4e2a\u8fd9\u6837\u7684\u624b\u5199\u4f53\u548c\u6b63\u786e\u7b54\u6848\u6253\u5305\uff0c\u4f9b\u673a\u5668\u5b66\u4e60\u7684\u7814\u7a76\u8005\u4f7f\u7528\uff0c\u5e76\u4e14\u6311\u6218\u8c01\u80fd\u8fbe\u5230\u66f4\u9ad8\u7684\u8bc6\u522b\u7387\u3002<\/p>\n

\u4e0a\u4ee3\u7801\uff0c\u6765\u770b\u4e00\u770b\u522b\u4eba\u4e3a\u6211\u4eec\u51c6\u5907\u597d\u7684\u6570\u636e<\/strong><\/p>\n

\u5982\u4e0b\u56db\u884c python \u4ee3\u7801\u5c31\u80fd\u7528 tensorflow \u4ece\u4e92\u8054\u7f51\u4e0a\u628a\u8fd9\u4e2a 11.49M \u7684\u6570\u636e\u96c6\u4e0b\u8f7d\u5230\u672c\u5730\u6765\u3002<\/p>\n

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    # \u5bfc\u5165\u8457\u540d\u7684 tensorflow\u3002 \u5728\u547d\u4ee4\u884c\u4e0b\u7528 pip3 install tensorflow \u5b89\u88c5<\/span><\/span><\/code>import<\/span> tensorflow as<\/span> tf<\/span><\/code># \u4ece\u4e92\u8054\u7f51\u4e0a\u4e0b\u8f7d mnist \u6570\u636e\u96c6\u5230\u672c\u5730 ~\/.keras\/datasets\/mnist.npz<\/span><\/span><\/code>#\u00a0x_train, y_train\u00a0\u5206\u522b\u662f\u662f60000\u4e2a\u8bad\u7ec3\u56fe\u50cf\u548c\u7b54\u6848<\/span><\/span><\/code>#\u00a0x_test,\u00a0y_test\u00a0\u5206\u522b\u662f10000\u4e2a\u6d4b\u8bd5\u56fe\u50cf\u548c\u7b54\u6848<\/span><\/span><\/code>#\u00a0\u8bad\u7ec3\u7684\u7b97\u662f\u65e5\u5e38\u4e60\u9898\uff0c\u6d4b\u8bd5\u7684\u624d\u662f\u9ad8\u8003\u9898\u3002\u4e3a\u4e86\u8ba1\u7b97\u673a\u9632\u6b62\u4f5c\u5f0a\uff0c\u8ba1\u7b97\u673a\u8bfb\u4e66\u7684\u65f6\u5019\u662f\u4e0d\u80fd\u770b\u5230\u9ad8\u8003\u8bd5\u5377\u7684<\/span><\/span><\/code>(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()<\/span><\/code># \u628a\u7b2c1001\u4e2a\u6570\u5b57\u7684\u56fe\u50cf\u6253\u5370\u51fa\u6765<\/span><\/span><\/code>print(x_train[1000<\/span>])<\/span><\/code># \u628a\u201c\u6b63\u786e\u7b54\u6848\u201d\u6253\u5370\u51fa\u6765\u3002\u7ed3\u679c\u5e94\u8be5\u662f 0<\/span><\/span><\/code>print(y_train[1000<\/span>])<\/span><\/code><\/pre>\n<\/section>\n
    \u5982\u679c\u6211\u4eec\u597d\u5947\u8fd9\u4e2a\u91cc\u9762\u7684\u6570\u636e\u957f\u6210\u4ec0\u4e48\u6837\u5b50\uff0c\u53ef\u4ee5\u7528 print\u00a0\u76f4\u63a5\u6253\u5370\u51fa\u6765\uff0c\u5f97\u5230\u5982\u4e0b\u6240\u793a\uff08\u53ef\u4ee5\u5de6\u53f3\u6ed1\u52a8\u53ef\u4ee5\u770b\u5230\u5168\u8c8c\uff09<\/p>\n
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      [[  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  36<\/span> 146<\/span> 254<\/span> 255<\/span> 251<\/span>  95<\/span>   6<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   3<\/span>  97<\/span> 234<\/span> 254<\/span> 254<\/span> 232<\/span> 254<\/span> 254<\/span>  35<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  89<\/span> 140<\/span> 254<\/span> 254<\/span> 174<\/span>  67<\/span>  33<\/span> 200<\/span> 254<\/span> 190<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 108<\/span> 253<\/span> 254<\/span> 235<\/span>  51<\/span>   1<\/span>   0<\/span>   0<\/span>  12<\/span> 254<\/span> 253<\/span>  56<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  12<\/span> 216<\/span> 254<\/span> 244<\/span>  55<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   6<\/span> 213<\/span> 254<\/span>  57<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  25<\/span> 254<\/span> 254<\/span> 132<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 168<\/span> 254<\/span>  57<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  45<\/span> 254<\/span> 243<\/span>  34<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 168<\/span> 254<\/span>  57<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 128<\/span> 254<\/span> 157<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 168<\/span> 254<\/span>  57<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  19<\/span> 228<\/span> 254<\/span> 105<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   7<\/span> 228<\/span> 254<\/span>  57<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  58<\/span> 254<\/span> 254<\/span>  87<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  10<\/span> 254<\/span> 246<\/span>  47<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  58<\/span> 254<\/span> 254<\/span>   9<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  10<\/span> 254<\/span> 210<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  58<\/span> 254<\/span> 254<\/span>   9<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 105<\/span> 254<\/span>  91<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   5<\/span> 219<\/span> 254<\/span>   9<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  24<\/span> 230<\/span> 254<\/span>  24<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 216<\/span> 254<\/span>   9<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  84<\/span> 254<\/span> 251<\/span>  23<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 216<\/span> 254<\/span>  36<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  22<\/span> 208<\/span> 251<\/span>  94<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 129<\/span> 254<\/span> 120<\/span>   0<\/span>   0<\/span>   0<\/span>   3<\/span> 140<\/span> 254<\/span> 229<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  83<\/span> 254<\/span> 222<\/span>  17<\/span>   0<\/span>   0<\/span>  91<\/span> 254<\/span> 236<\/span>  53<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  18<\/span> 235<\/span> 254<\/span> 134<\/span>  21<\/span> 119<\/span> 237<\/span> 254<\/span> 124<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>  53<\/span> 249<\/span> 254<\/span> 234<\/span> 252<\/span> 254<\/span> 172<\/span>   3<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span> 116<\/span> 237<\/span> 254<\/span> 254<\/span> 133<\/span>  20<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code> [  0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>   0<\/span>]<\/span><\/code>\u00a0[\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>\u00a0\u00a0\u00a00<\/span>]]<\/span><\/code><\/pre>\n<\/section>\n
      \u539f\u6765\uff0c\u6570\u636e\u662f60000\u4e2a\u5143\u7d20\u7684\u6570\u7ec4\uff0c\u6bcf\u4e2a\u5143\u7d20\uff0c\u662f\u4e00\u4e2a 28 \u884c\u7684\u6570\u636e\uff0c\u6bcf\u4e00\u884c\u6709 28 \u4e2a\u6570\uff0c\u6bcf\u4e2a\u6570\u90fd\u662f\u4ece 0 \u5230 255 \u4e4b\u95f4\u7684\u4e00\u4e2a\u6570\u5b57\uff0c\u4ee3\u8868\u7070\u5ea6\u30020 \u5c31\u662f\u7eaf\u9ed1\uff0c255 \u5c31\u662f\u7eaf\u767d\uff0c\u4e2d\u95f4\u7684\u6570\u5b57\u4ee3\u8868\u4ece 0 \u5230 255 \u4e4b\u95f4\u7684 256 \u6863\u7684\u7070\u5ea6\u3002<\/p>\n
      \u5927\u5bb6\u731c\u731c\u5982\u4e0a\u7684\u8fd9 28 x 28 = 784 \u4e2a\u6570\u5b57\u4ee3\u8868\u7684\u662f\u54ea\u4e00\u4e2a\u6570\u5b57\uff1f<\/p>\n
      \u7528\u6211\u4eec\u4ece\u5c0f\u5c31\u8bad\u7ec3\u5f97\u7089\u706b\u7eaf\u9752\u7684\u4eba\u8089\u795e\u7ecf\u7f51\u7edc\u5224\u65ad\uff0c\u8fd9\u6392\u5217\u621028\u884c28\u5217\u7684\u00a0784 \u4e2a\u6570\u5b57\u540e\u9762\u4ee3\u8868\u7684\u90a3\u4e00\u4e2a\u6570\u5e94\u8be5\u662f 0<\/strong>\u00a0\u3002\u770b\u4e00\u4e0b\u8bad\u7ec3\u96c6\u91cc\u7ed9\u51fa\u7684\u6b63\u786e\u7b54\u6848\uff0c\u4e5f\u662f 0<\/strong> \u3002\u00a0<\/p>\n
      \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u7528\u4e09\u884c Python \u8bed\u53e5\u628a\u8fd9\u4e2a\u56fe\u50cf\u663e\u793a\u51fa\u6765\uff1a<\/p>\n
      \n