從零開始，成為 AI 圖像訓練師! 認證檢定教材

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AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528 \u4e00\u3001\u5982\u4f55\u9078\u64c7\u6a21\u578b\uff1f ---------------------------------118 \u4e8c\u3001\u7ad9\u5728\u5de8\u4eba\u7684\u80a9\u8180\u4e0a : \u5206\u985e\u5668\u61c9\u7528\u6848\u4f8b ------------122 \u4e09\u3001\u5be6\u6230\u6642\u9593 1 : \u8a13\u7df4\u81ea\u5df1\u7684\u5206\u985e\u5668\u6a21\u578b -------------124 \u56db\u3001\u5be6\u6230\u6642\u9593 2 : \u628a\u6a21\u578b\u5c0e\u5165\u6aa2\u6e2c\u5e73\u53f0 ---------------132 116 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","\u4ec0\u9ebc\u662f\u5206\u985e\u5668\uff1f\u5206\u985e\u662f\u6307\u5728\u5927\u91cf\u5df2\u6a19\u8a18\u597d\u7684\u5716\u50cf\u8cc7\u6599\u96c6\u4e0a\u9032\u884c\u8a13 \u7df4\uff0c\u900f\u904e\u9019\u4e9b\u5716\u50cf\u8cc7\u6599\u8a13\u7df4\u51fa\u4f86\u7684 AI \u6a21\u578b\u80fd\u5920\u5c0d\u65b0\u7684\u5716\u50cf\u9032\u884c\u5feb\u901f\u4e14 \u5373\u6642\u7684\u5206\u985e\u3002 Classification \u5206\u985e\u5668 Cat 117","\u4e00 \u5982\u4f55\u9078\u64c7\u6a21\u578b\uff1f AI \u8a13\u7df4\u6240\u9700\u8981\u7684\u6a21\u578b\uff0c\u4e26\u975e\u8d8a\u6df1\u8d8a\u597d\uff0c\u800c\u662f\u61c9\u8996\u4f7f\u7528\u8005\u6240\u9078\u7684\u984c \u76ee\u96e3\u6613\u5ea6\u800c\u5b9a\u3002\u7c21\u55ae\u5bb9\u6613\u7684\u984c\u76ee\u901a\u5e38\u662f\u5dee\u7570\u6027\u8f03\u5927\uff0c\u5982\uff1a\u8c93\u8207\u72d7\u3001\u860b \u679c\u8207\u9999\u8549\u6216\u98db\u6a5f\u8207\u6c7d\u8eca\u7b49\uff0c\u5176\u7279\u5fb5\u5bb9\u6613\u8b58\u5225\uff0c\u6240\u4ee5\u901a\u5e38\u5efa\u8b70\u9078\u7528\u8f03\u5c11 \u5c64\u6578\u7684\u795e\u7d93\u7db2\u8def\u9032\u884c\u6a21\u578b\u8a13\u7df4\u3002\u53cd\u4e4b\uff0c\u56f0\u96e3\u8907\u96dc\u7684\u984c\u76ee\u901a\u5e38\u662f\u6307\u5dee\u7570 \u6027\u8f03\u5c0f\uff0c\u5982\uff1a\u79cb\u7530\u72ac\u8207\u67f4\u72ac\u3001\u871c\u860b\u679c\u8207\u5bcc\u58eb\u860b\u679c\u6216\u7a3b\u7c73\u7a2e\u985e\u7b49\uff0c\u5176\u7279 \u5fb5\u4e0d\u6613\u8b58\u5225\uff0c\u6240\u4ee5\u5efa\u8b70\u9078\u7528\u8f03\u591a\u5c64\u6578\u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\u9032\u884c\u6a21\u578b\u8a13\u7df4\u3002 118 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","\u6211\u5011\u5c07\u6240\u6709\u7684\u795e\u7d93\u7db2\u8def\u5340\u5206\u6210\u4e09\u5927\u985e\uff0c\u5206\u5225\u70ba\u300c\u908a\u7de3\u904b\u7b97\u300d\u3001\u300c\u4e00 \u822c\u6cdb\u7528\u300d\u4ee5\u53ca\u300c\u6df1\u5c64\u8a08\u7b97\u300d\uff0c\u5176\u4e2d\u300c\u908a\u7de3\u904b\u7b97\u300d\uff0c\u9019\u985e\u7db2\u8def\u6a21\u578b\u662f\u5c64 \u6578\u6700\u5c11\u901a\u5e38\u662f\u5c11\u65bc 18 \u5c64\u7684\u795e\u7d93\u7db2\u8def\uff0c \u4e3b\u8981\u7528\u65bc\u7b97\u529b\u6709\u9650\u6216\u9700\u8981\u9ad8\u901f \u6aa2\u6e2c\u7684\u61c9\u7528\u5834\u666f\u3002\u518d\u8005\uff0c\u300c\u4e00\u822c\u6cdb\u7528\u300d\u9019\u985e\u7db2\u8def\u6a21\u578b\u5176\u5c64\u6578\u7d04\u5728 40 \u81f3 160 \u5c64\u7684\u795e\u7d93\u7db2\u8def\uff0c\u80fd\u61c9\u7528\u5728\u5927\u90e8\u5206\u7684\u6aa2\u6e2c\u9700\u6c42\uff0c\u4e26\u4e14\u5728\u4e00\u822c\u96fb\u8166\u7b97 \u529b\u4e0b\u80fd\u5c07\u6aa2\u6e2c\u7cbe\u5ea6\u6700\u5927\u5316\u3002\u6700\u5f8c\uff0c\u300c\u6df1\u5c64\u8a08\u7b97\u300d\u9019\u985e\u7db2\u8def\u6a21\u578b\u5176\u5c64\u6578 \u901a\u5e38\u662f\u8d85\u904e 221 \u5c64\u7684\u795e\u7d93\u7db2\u8def\uff0c\u9069\u5408\u61c9\u7528\u5728\u8f03\u70ba\u8907\u96dc\u7684\u6aa2\u6e2c\u554f\u984c\uff0c\u5176 \u6240\u9700\u8981\u7684\u96fb\u8166\u7b97\u529b\u8981\u6c42\u4e5f\u8f03\u9ad8\u3002 119","\u5927\u5bb6\u82e5\u60f3\u5617\u8a66\u81ea\u884c\u8a13\u7df4 AI \u6a21\u578b\uff0c\u4ee5\u4e0b\u91dd\u5c0d\u521d\u7d1a\u4f7f\u7528\u8005\u7684\u76f8\u95dc\u5efa\u8b70\uff1a \u4e00 \u7b97\u529b\u4e0d\u8db3\u7684\u96fb\u8166\uff1a\u8981\u900f\u904e AI \u9032\u884c\u6a21\u578b\u8a13\u7df4\u6700\u4f4e\u7684 GPU \uff08\u5716\u50cf\u986f \u793a\u5668\uff09\u81f3\u5c11\u8981\u5177\u5099 6GB \u7684\u8a18\u61b6\u9ad4\uff0c\u5982\uff1a NVIDIA GTX 1060 ( 6GB ) \u4ee5 \u4e0a\uff0c\u4f4e\u65bc\u6b64\u914d\u5099\u7684 GPU \u6216\u672a\u914d\u7f6e GPU \u7684\u96fb\u8166\u90fd\u6b78\u985e\u5728\u7b97\u529b\u4e0d\u8db3\u7684\u96fb \u8166\u3002\u9019\u985e\u578b\u7684\u96fb\u8166\u56e0\u7b97\u529b\u53d7\u9650\uff0c \u6240\u4ee5\u5728\u795e\u7d93\u7db2\u8def\u7684\u9078\u64c7\u4e0a\uff0c\u4e0d\u5efa\u8b70\u9078 \u7528\u6df1\u5c64\u8a08\u7b97\u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\u9032\u884c\u8a13\u7df4\uff0c\u4e14\u984c\u76ee\u61c9\u4ee5\u6a19\u8a18\u5dee\u7570\u6027\u5927\u8207\u4e0d \u9700\u5927\u91cf\u5716\u7247\u70ba\u4e3b\u3002\u6311\u9078\u7db2\u8def\u6a21\u578b\u7684\u6b65\u9a5f\u5982\u4e0b\uff1a \u6b65\u9a5f\u4e00 \u512a\u5148\u9078\u64c7 40 \u81f3 60 \u5c64 (XNet-1) \u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u9032\u884c AI \u6a21\u578b\u8a13\u7df4\uff0c \u751f\u6210 AI \u6a21\u578b\u5f8c\u9a57\u8b49\u5176\u7d50\u679c\u3002 \u6b65\u9a5f\u4e8c \u6839\u64da\u9a57\u8b49\u7d50\u679c\u5dee\u7570\uff0c\u6703\u518d\u9078\u64c7\u4e0d\u540c\u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u5404\u7a2e\u60c5\u6cc1\u8aaa\u660e\u5982\u4e0b\u3002 (1) \u60c5\u6cc1\u4e00\u3001\u9a57\u8b49\u7d50\u679c\u7b26\u5408\u9700\u6c42\uff1a\u7121\u9808\u8abf\u6574\u795e\u7d93\u7db2\u8def\u6a21\u578b\u3002 (2) \u60c5\u6cc1\u4e8c\u3001\u9a57\u8b49\u7d50\u679c\u672a\u7b26\u5408\u9700\u6c42\uff1a\u8868\u793a\u5148\u524d\u6240\u9078\u64c7\u7684\u795e\u7d93\u7db2\u8def\u5c64\u6578\u4e0d \u8db3\uff0c\u5c0e\u81f4 AI \u6a21\u578b\u7121\u6cd5\u8a13\u7df4\u8d77\u4f86\uff0c\u5efa\u8b70\u6311\u9078\u591a\u5c64\u6578\u7684\u795e\u7d93\u7db2\u8def\uff0c\u5982 100 \u81f3 110 \u5c64 (XNet-2) \u7684\u7db2\u8def\u6a21\u578b\u3002 (3) \u60c5\u6cc1\u4e09\u3001\u9a57\u8b49\u7d50\u679c\u70ba\u904e\u64ec\u5408 ( Overfitting ) \uff1a\u904e\u64ec\u5408\u662f\u6307 AI \u6a21\u578b\u5728 \u8a13\u7df4\u7d50\u679c\u8868\u73fe\u5f97\u5f88\u597d\uff0c\u4f46\u7576\u63d0\u4f9b\u65b0\u5716\u7247\u6642\u6703\u8868\u73fe\u4e0d\u4f73\u7684\u73fe\u8c61\u3002\u767c\u751f \u6b64\u60c5\u6cc1\u6642\u5efa\u8b70\u6539\u6311\u9078\u5c11\u5c64 (XNet-1) \u7684\u795e\u7d93\u7db2\u8def\uff0c\u907f\u514d\u904e\u64ec\u5408\u60c5\u5f62\u767c \u751f\u5f71\u97ff AI \u6a21\u578b\u8a13\u7df4\u7d50\u679c\u3002 \u6b65\u9a5f\u4e09 \u6839\u64da\u4e0d\u540c\u7684 AI \u6a21\u578b\u7d50\u679c\u900f\u904e\u6b65\u9a5f\u4e8c\u7684\u60c5\u6cc1\u9032\u884c\u8abf\u6574\uff0c\u76f4\u5230\u9a57\u8b49\u7d50\u679c\u7b26 \u5408\u9700\u6c42\u3002 120 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","\u4e8c \u7b97\u529b\u8db3\u5920\u7684\u96fb\u8166\uff1a\u6b64\u985e\u578b\u7684\u96fb\u8166\u901a\u5e38\u5df2\u5099\u59a5\u76f8\u7576\u7a0b\u5ea6\u7684 GPU\uff0c\u4ee5 \u56e0\u61c9\u5404\u7a2e AI \u6a21\u578b\u8a13\u7df4\u554f\u984c\u3002\u9019\u985e\u578b\u7684\u96fb\u8166\u80fd\u8a13\u7df4\u5404\u7a2e\u96e3\u6613\u5ea6\u7684\u984c\u76ee\uff0c \u6311\u9078\u7db2\u8def\u6a21\u578b\u7684\u6b65\u9a5f\u5982\u4e0b\uff1a \u6b65\u9a5f\u4e00 \u5148\u78ba\u8a8d\u984c\u76ee\u7684\u96e3\u6613\u7a0b\u5ea6\uff0c\u82e5\u6a19\u8a18\u5dee\u7570\u6027\u5927\u6216\u4e0d\u9700\u5927\u91cf\u5716\u7247\u7684\u984c\u76ee\uff0c\u5efa \u8b70\u512a\u5148\u4f7f\u7528 40 \u81f3 60 \u5c64 (XNet-1) \u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u9032\u884c AI \u6a21\u578b\u8a13\u7df4\uff0c \u751f\u6210 AI \u6a21\u578b\u5f8c\u9a57\u8b49\u5176\u7d50\u679c\uff1b\u53cd\u4e4b\uff0c\u6a19\u8a18\u5dee\u7570\u6027\u5c0f\u6216\u9700\u8981\u5927\u91cf\u5716\u7247\u7684\u984c \u76ee\uff0c\u5efa\u8b70\u512a\u5148\u4f7f\u7528 100 \u81f3 110 \u5c64 (XNet-2) \u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u9032\u884c AI \u6a21 \u578b\u8a13\u7df4\uff0c\u751f\u6210 AI \u6a21\u578b\u5f8c\u9a57\u8b49\u5176\u7d50\u679c\u3002 \u6b65\u9a5f\u4e8c \u6839\u64da\u9a57\u8b49\u7d50\u679c\u5dee\u7570\uff0c\u6703\u518d\u9078\u64c7\u4e0d\u540c\u7684\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u5404\u7a2e\u60c5\u6cc1\u8aaa\u660e\u5982\u4e0b\u3002 (1) \u60c5\u6cc1\u4e00\u3001\u9a57\u8b49\u7d50\u679c\u7b26\u5408\u9700\u6c42\uff1a\u7121\u9808\u8abf\u6574\u795e\u7d93\u7db2\u8def\u6a21\u578b\u3002 (2) \u60c5\u6cc1\u4e8c\u3001\u9a57\u8b49\u7d50\u679c\u672a\u7b26\u5408\u9700\u6c42\uff1a\u8868\u793a\u5148\u524d\u6240\u9078\u64c7\u7684\u795e\u7d93\u7db2\u8def\u5c64\u6578\u4e0d \u8db3\uff0c\u5c0e\u81f4 AI \u6a21\u578b\u7121\u6cd5\u8a13\u7df4\u8d77\u4f86\uff0c\u5efa\u8b70\u6311\u9078\u591a\u5c64\u6578\u7684\u795e\u7d93\u7db2\u8def\uff0c\u5982 145 \u81f3 160 \u5c64 (XNet-3) \u7684\u7db2\u8def\u6a21\u578b\u3002 (3) \u60c5\u6cc1\u4e09\u3001\u9a57\u8b49\u7d50\u679c\u70ba\u904e\u64ec\u5408 (Overfitting ) \uff1a\u904e\u64ec\u5408\u662f\u6307 AI \u6a21\u578b\u5728 \u8a13\u7df4\u7d50\u679c\u8868\u73fe\u5f97\u5f88\u597d\uff0c\u4f46\u7576\u63d0\u4f9b\u65b0\u5716\u7247\u6642\u6703\u8868\u73fe\u4e0d\u4f73\u7684\u73fe\u8c61\u3002\u767c\u751f \u6b64\u60c5\u6cc1\u6642\u5efa\u8b70\u6539\u6311\u9078\u5c11\u5c64\u7684\u795e\u7d93\u7db2\u8def\uff0c\u907f\u514d\u904e\u64ec\u5408\u60c5\u5f62\u767c\u751f\u5f71\u97ff AI \u6a21\u578b\u8a13\u7df4\u7d50\u679c\u3002 \u6b65\u9a5f\u4e09 \u6839\u64da\u4e0d\u540c\u7684 AI \u6a21\u578b\u7d50\u679c\u900f\u904e\u6b65\u9a5f\u4e8c\u7684\u60c5\u6cc1\u9032\u884c\u8abf\u6574\uff0c\u76f4\u5230\u9a57\u8b49\u7d50\u679c\u7b26 \u5408\u9700\u6c42\u3002 121","\u4e8c \u7ad9\u5728\u5de8\u4eba\u7684\u80a9\u8180\u4e0a : \u5206\u985e\u5668\u61c9\u7528\u6848\u4f8b \u6848\u4f8b\u4e00\uff1a AI \u80fd\u8fa8\u8b58\u8fb2\u4f5c\u7269\u5bb3\u87f2\u55ce\uff1f \u5927\u5bb6\u77e5\u9053\u8fb2\u4f5c\u7269\u4e0a\u7684\u5bb3\u87f2\u9ad4\u7a4d\u5927\u7d04\u662f\u591a\u5c11\u55ce\uff1f\u9019\u4e9b\u5bb3\u87f2\u7684\u9ad4\u7a4d\u4ecb \u65bc 0.05 \u81f3 6 \u516c\u5206\u4e4b\u9593\uff0c\u7260\u5011\u559c\u611b\u5543\u98df\u8fb2\u4f5c\u7269\u7684\u5404\u90e8\u4f4d\uff0c\u8f15\u5247\u5f71\u97ff\u8fb2\u4f5c \u7269\u7f8e\u89c0\uff0c\u91cd\u5247\u7834\u58de\u8fb2\u4f5c\u7269\u751f\u9577\u3002\u8fb2\u6c11\u5011\u901a\u5e38\u5982\u4f55\u6aa2\u67e5\u8fb2\u4f5c\u7269\u6709\u7121\u5bb3\u87f2 \u5462\uff1f\u5e38\u898b\u65b9\u5f0f\u5305\u542b\u5de1\u7530\u6c34\u8207\u5674\u7051\u8fb2\u85e5\uff0c\u4e0d\u8ad6\u4f7f\u7528\u4f55\u7a2e\u65b9\u5f0f\u90fd\u9700\u8981\u8fb2\u6c11 \u5011\u4ed8\u51fa\u8a31\u591a\u7684\u6642\u9593\u8207\u91d1\u9322\uff0c\u4e14\u5bb3\u87f2\u7a2e\u985e\u5f88\u591a\uff0c\u8fb2\u6c11\u5011\u82e5\u7121\u6cd5\u5c0d\u75c7\u4e0b\u85e5\uff0c \u4e5f\u5c31\u7121\u6cd5\u6709\u6548\u6839\u6cbb\u5bb3\u87f2\u3002\u90a3\u8a72\u5982\u4f55\u5354\u52a9\u8fb2\u6c11\u5011\u64fa\u812b\u9019\u5bb3\u87f2\u554f\u984c\u5462\uff1f\u5c0e \u5165 AI \u53ef\u6709\u6548\u5354\u52a9\u8fb2\u6c11\u6539\u5584\u9019\u554f\u984c\u3002 \u8b93 AI \u53bb\u5b78\u7fd2\u5404\u7a2e\u8fb2\u4f5c\u7269\u5bb3\u87f2\u8207\u5543\u98df\u7684\u7279\u5fb5\uff0c\u63a5\u8457\u91dd\u5c0d\u8fb2\u4f5c\u7269\u9700\u6c42 \u67b6\u8a2d\u76f8\u6a5f\uff0c\u6700\u5f8c\u5c07\u76f8\u6a5f\u6240\u62cd\u651d\u5230\u7684\u7167\u7247\u56de\u50b3\u81f3\u8fb2\u6c11\u5011\u7684\u624b\u6a5f\u6216\u96fb\u8166\u87a2 \u5e55\u3002\u5982\u6b64\u4e00\u4f86\uff0c AI \u80fd\u7acb\u5373\u8fa8\u8b58\u51fa\u8fb2\u4f5c\u7269\u7684\u5bb3\u87f2\u7a2e\u985e\u4e26\u63d0\u4f9b\u6709\u6548\u9664\u87f2\u7684 \u76f8\u95dc\u5efa\u8b70\uff0c\u4e0d\u50c5\u7bc0\u7701\u8fb2\u6c11\u5011\u7684\u6642\u9593\u8207\u91d1\u9322\u5916\uff0c\u4e5f\u80fd\u4fdd\u969c\u8fb2\u4f5c\u7269\u7684\u54c1\u8cea \u8207\u7522\u91cf\u3002 \u5bb3\u87f2 APP 122 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? 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AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","\u4e8c \u8cc7\u6599\u593e ( \u9700\u5148\u53d6\u5f97\u8207\u555f\u52d5\u7522\u54c1\u91d1\u9470 ) \uff1a \u6709\u6642\u56e0\u984c\u76ee\u95dc\u4fc2\uff0c\u6703\u9700\u8981\u5c07\u5716\u7247\u653e\u7f6e\u65bc\u8cc7\u6599\u593e\u9032\u884c\u5373\u6642\u8fa8\u8b58\u4ee5\u78ba\u8a8d AI \u6a21\u578b\u6210\u6548\uff0c\u76f8\u95dc\u64cd\u4f5c\u6b65\u9a5f\u8aaa\u660e\u5982\u4e0b\uff1a (1) \u958b\u555f VisCam \u8edf\u9ad4\uff0c\u900f\u904e\u5de6\u4e0a\u89d2 \u9078\u64c7\u8cc7\u6599\u593e\u529f\u80fd \u3002 (2) \u9ede\u64ca \u958b\u555f\u8cc7\u6599\u593e\u8a2d\u5b9a\uff0c\u53ef\u8a2d\u5b9a\u6709\u8cc7\u6599\u593e ( \u5716\u7247\u8def\u5f91 ) \u3001\u5b58\u6a94\u8def\u5f91 ( \u8fa8\u8b58\u8cc7\u6599\u7d50\u679c\u5b58\u653e\u8def\u5f91 ) \u3001Save PDF\u3001OD-save xml ( \u7269\u4ef6\u5075\u6e2c\u5c08 \u7528 ) \u8207 SE-save mask ( \u5206\u5272\u5c08\u7528 ) \uff0c\u672c\u6b21 AI \u6a21\u578b\u4ee5\u5206\u985e\u5668\u70ba\u4e3b\uff0c\u6240 \u4ee5\u6b64\u6b21\u5148\u52fe\u9078 Save PDF \u4e26\u5c07 OD-save xml \u8207 SE- save mask \u53d6\u6d88\uff0c \u63a5\u8457\u96e2\u958b\u8a2d\u5b9a\u3002 (3) \u63a5\u8457\u5c07\u9700\u8981\u6aa2\u6e2c\u7684\u6c34\u679c\u5716\u7247\u653e\u5165 VisCam \u7684 input \u8cc7\u6599\u593e\u4e2d\u5f8c\uff0c\u96e2 \u958b\u8cc7\u6599\u593e\u3002 135","(4) \u63a5\u4e0b\u4f86\uff0c\u9ede\u64ca AI \u53f3\u908a\u7684\u8a2d\u5b9a \uff0c\u5373\u958b\u555f AI \u8a2d\u5b9a\u529f\u80fd\u3002\u9700\u8981\u5c07\u4e0a\u7bc0\u6240\u8a13 \u7df4\u7684 AI \u6a21\u578b\u6a94\u532f\u5165\u6b64\u8a2d\u5b9a\u4e2d\uff0c\u624d\u80fd\u8b93\u76f8\u6a5f\u5099\u6709 AI \u5206\u985e\u5668\u7684\u5373\u6642\u8fa8\u8b58\u529f \u80fd\u3002\u529f\u80fd\u4ecb\u9762\u6703\u770b\u5230\u540d\u7a31\u3001\u6a21\u5f0f\u3001\u6a21\u578b\u3001\u5206\u985e\u6a19\u7c64\u3001\u5f71\u50cf\u5bec\u3001\u5f71\u50cf\u9ad8\u3001\u6aa2 \u6e2c\u9580\u6abb\u8207\u4f7f\u7528 CPU\uff0c\u5728\u6b64\u6211\u5011\u50c5\u9700\u8f38\u5165\u540d\u7a31 ( \u6c34\u679c ) \u3001\u6a21\u578b ( \u4e0a\u7bc0\u7684 AI \u6a21\u578b\u6a94 ) \u3001\u6aa2\u6e2c\u9580\u6abb ( 0.30 ) \u8207\u4f7f\u7528 CPU ( \u82e5\u7121 GPU \u8acb\u52fe\u9078 ) \uff0c\u5176\u9918 \u7cfb\u7d71\u6703\u81ea\u52d5\u532f\u5165\uff0c\u5b8c\u6210\u5f8c\u9ede\u64ca OK\uff0cAI \u6a21\u578b\u4fbf\u65b0\u589e\u5b8c\u6210\uff0c\u63a5\u8457\u9ede\u64ca\u53f3\u4e0a\u89d2 \u7684\u96e2\u958b\u56de\u5230 VisCam \u756b\u9762\u3002 136 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","(5)AI \u529f\u80fd\u756b\u9762\u51fa\u73fe\u6c34\u679c AI \u6a21\u578b\uff0c\u6ed1\u9f20\u5de6\u9375\u5feb\u901f\u9ede\u64ca\u5169\u4e0b ( \u9ede\u64ca\u5f8c AI \u6a21\u578b\u8b8a\u6210\u7d05\u8272 ) \uff0c\u5c07 AI \u6a21\u578b\u4f48\u7f72\u81f3 VisCam \u4e2d\u3002 (6) \u63a5\u8457\u9ede\u64ca\u300c\u555f\u52d5\u300d\uff0cAI \u6a21\u578b\u5c07\u81ea\u52d5\u8fa8\u8b58\u9019\u4e9b\u5716\u7247\uff0c\u8fa8\u8b58\u7d50\u675f\u5f8c\u9ede\u64ca \u300c\u505c\u6b62\u300d\uff0c\u5426\u5247\u6709\u5176\u4ed6\u5716\u7247\u532f\u5165 input \u8cc7\u6599\u593e\u6642\uff0c\u7cfb\u7d71\u4ecd\u6703\u5373\u6642\u8fa8 \u8b58\u4e26\u5c07\u7d50\u679c\u50b3\u81f3 output \u8cc7\u6599\u593e\u4e2d\u3002 137","(7) \u6700\u5f8c\uff0c\u9032\u5165 VisCam \u7684 output \u8cc7\u6599\u593e\u4e2d\uff0c\u4fbf\u53ef\u770b\u5230\u525b\u624d\u5716\u7247\u900f\u904e AI \u6a21\u578b\u6240\u8fa8\u8b58\u7684\u7d50\u679c\u5c07\u4ee5 PDF \u6a94\u6848\u5448\u73fe\uff0c\u9ede\u5165\u5373\u53ef\u770b\u8fa8\u8b58\u8a73\u7d30\u5167 \u5bb9\u3002 138 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","\u4e09 \u7db2\u8def ( \u9700\u5148\u53d6\u5f97\u8207\u555f\u52d5\u7522\u54c1\u91d1\u9470 ) \uff1a \u7db2\u8def\u529f\u80fd\u53ef\u5c07 AI \u6a21\u578b\u6240\u8fa8\u8b58\u7684\u7d50\u679c\u4e32\u63a5\u81f3\u5176\u4ed6\u7a0b\u5f0f\u9032\u884c AI \u61c9\u7528\uff0c\u64cd \u4f5c\u6b65\u9a5f\u5982\u4e0b\uff1a (1) \u958b\u555f VisCam \u8edf\u9ad4\uff0c\u900f\u904e\u5de6\u4e0a\u89d2 \u9078\u64c7\u7db2\u8def\u529f\u80fd \u3002 (2) \u9ede\u64ca \u958b\u555f\u7db2\u8def\u8a2d\u5b9a\uff0c\u53ef\u8a2d\u5b9a\u6700\u5927\u4f7f\u7528\u8005\u8207\u8abf\u6574\u5141\u8a31 IP \u540d\u55ae\u3002 \u5099\u8a3b\uff1a \u5efa\u8b70\u6700\u5927\u4f7f\u7528\u8005\u5225\u8a2d\u5b9a\u8d85\u904e 5 \u4f4d\uff0c\u5426\u5247\u57f7\u884c\u8d77\u4f86\u8fa8\u8b58\u901f\u5ea6\u6703\u9072\u7de9\u3002 (3) \u96e2 \u958b \u7db2\u8def\u8a2d\u5b9a\uff0c\u958b\u555f Wi ndows \u7684\u300c\u547d\u4ee4\u63d0\u793a\u5b57\u5143\u300d\uff0c\u8f38\u5165\u300c ipconfig \u300d\u641c\u5c0b\u76ee\u524d\u96fb\u8166\u7684 IP4 \u4f4d\u5740\uff0c\u78ba\u8a8d IP \u4f4d\u5740\u5f8c\u5728 VisCam \u4e0a \u7684 IP \u8f38\u5165 ( \u5982\u4e0b\u5716 192.168.1.192 ) \u4e14\u4e0b\u65b9 Port \u8f38\u5165 8080\uff0c\u5373\u5b8c\u6210 \u7db2\u8def\u8a2d\u5b9a\u3002 139","(4) \u63a5\u4e0b\u4f86\uff0c\u9ede\u64ca AI \u53f3\u908a\u7684\u8a2d\u5b9a \uff0c\u5373\u958b\u555f AI \u8a2d\u5b9a\u529f\u80fd\u3002\u9700\u8981\u5c07\u4e0a\u7bc0 \u6240\u8a13\u7df4\u7684 AI \u6a21\u578b\u6a94\u532f\u5165\u6b64\u8a2d\u5b9a\u4e2d\uff0c\u624d\u80fd\u8b93\u76f8\u6a5f\u5099\u6709 AI \u5206\u985e\u5668\u7684\u5373 \u6642\u8fa8\u8b58\u529f\u80fd\u3002\u529f\u80fd\u4ecb\u9762\u6703\u770b\u5230\u540d\u7a31\u3001\u6a21\u5f0f\u3001\u6a21\u578b\u3001\u5206\u985e\u6a19\u7c64\u3001\u5f71\u50cf \u5bec\u3001\u5f71\u50cf\u9ad8\u3001\u6aa2\u6e2c\u9580\u6abb\u8207\u4f7f\u7528 CPU \uff0c\u5728\u6b64\u6211\u5011\u50c5\u9700\u8f38\u5165\u540d\u7a31 ( \u6c34 \u679c ) \u3001\u6a21\u578b ( \u4e0a\u7bc0\u7684 AI \u6a21\u578b\u6a94 ) \u3001\u6aa2\u6e2c\u9580\u6abb\u66ab\u8a02 0.30( \u53ef\u4f9d\u4f7f \u7528\u8005\u9700\u6c42\u8abf\u6574\uff0c\u6578\u503c\u8d8a\u9ad8\u8868\u793a\u8fa8\u8b58\u6a19\u6e96\u8d8a\u56b4\u683c ) \u8207\u4f7f\u7528 CPU ( \u82e5 \u7121 GPU \u8acb\u52fe\u9078 ) \uff0c\u5176\u9918\u7cfb\u7d71\u6703\u81ea\u52d5\u532f\u5165\uff0c\u5b8c\u6210\u5f8c\u9ede\u64ca OK \uff0c AI \u6a21\u578b\u4fbf\u65b0\u589e\u5b8c\u6210\uff0c\u63a5\u8457\u9ede\u64ca\u53f3\u4e0a\u89d2\u7684\u96e2\u958b\u56de\u5230 VisCam \u756b\u9762\u3002 140 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? AI \u5716\u50cf\u5206\u985e\u5668\u7684\u61c9\u7528","(5)AI \u529f\u80fd\u756b\u9762\u51fa\u73fe\u6c34\u679c AI \u6a21\u578b\uff0c\u6ed1\u9f20\u5de6\u9375\u5feb\u901f\u9ede\u64ca\u5169\u4e0b ( \u9ede\u64ca\u5f8c AI \u6a21\u578b\u8b8a\u6210\u7d05\u8272 ) \uff0c\u5c07 AI \u6a21\u578b\u4f48\u7f72\u81f3 VisCam \u4e2d\u3002 (6) \u9ede\u64ca\u300c\u958b\u555f\u7db2\u9801\u300d\uff0c\u9032\u5165\u5230\u5206\u985e\u5c55\u793a\u6548\u679c\u7db2\u9801\uff0c\u9ede\u64ca\u4e0b\u65b9\u300c\u9078\u64c7\u5716 \u7247\u300d\uff0c\u9078\u53d6\u6240\u8981\u653e\u7f6e\u7684\u5716\u7247\u5f8c\uff0c\u9ede\u64ca\u300cAI \u63a8\u8ad6\u300d\u7acb\u5373\u51fa\u73fe AI \u6a21\u578b \u8fa8\u8b58\u7d50\u679c\uff0c\u4e14 VisCam \u4e5f\u6703\u540c\u6b65\u51fa\u73fe AI \u6a21\u578b\u8fa8\u8b58\u7d50\u679c\u3002 141","(7) \u9664\u4e86\u5206\u985e\u6548\u679c\u5c55\u793a\u5916\uff0c\u4e5f\u6709 Web API \u8207\u7bc4\u4f8b\u7a0b\u5f0f\u4f9b\u4f7f\u7528\u8005\u9032\u884c\u4e32 \u63a5\u3002\u5176\u4e2d\u7bc4\u4f8b\u7a0b\u5f0f\u5171\u6709 python\u3001javascript \u8207 C++ \u8b93\u5927\u5bb6\u53c3\u8003\u4e26 \u4e32\u63a5\u81f3\u76f8\u95dc\u61c9\u7528\u7a0b\u5f0f\u3002 142 \u7b2c\u4e03\u7ae0 AI \u4e5f\u80fd\u505a\u5206\u985e ? 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\u60c5\u6cc1\u4e09\u3001\u9a57\u8b49\u7d50\u679c\u70ba\u904e\u64ec\u5408 ( Overfitting ) \uff1a\u904e\u64ec\u5408\u662f\u6307 AI \u6a21\u578b\u5728 \u8a13\u7df4\u7d50\u679c\u8868\u73fe\u5f97\u5f88\u597d\uff0c\u4f46\u7576\u63d0\u4f9b\u65b0\u5716\u7247\u6642\u6703\u8868\u73fe\u4e0d\u4f73\u7684\u73fe\u8c61\u3002\u767c\u751f \u6b64\u60c5\u6cc1\u6642\u5efa\u8b70\u6539\u6311\u9078\u5c11\u5c64 (XNet-1) \u7684\u795e\u7d93\u7db2\u8def\uff0c\u907f\u514d\u904e\u64ec\u5408\u60c5\u5f62\u767c \u751f\u5f71\u97ff AI \u6a21\u578b\u8a13\u7df4\u7d50\u679c\u3002 \u6b65\u9a5f\u4e09 \u6839\u64da\u4e0d\u540c\u7684 AI \u6a21\u578b\u7d50\u679c\u900f\u904e\u6b65\u9a5f\u4e8c\u7684\u60c5\u6cc1\u9032\u884c\u8abf\u6574\uff0c\u76f4\u5230\u9a57\u8b49\u7d50\u679c\u7b26 \u5408\u9700\u6c42\u3002 150 \u7b2c\u516b\u7ae0 \u4e0d\u53ea\u5206\u985e\uff0c\u9084\u8981\u77e5\u9053\u4f4d\u7f6e : AI \u7269\u4ef6\u5075\u6e2c"]