{"id":4747,"date":"2020-07-11T14:05:24","date_gmt":"2020-07-11T06:05:24","guid":{"rendered":"https:\/\/www.59xuexi.com\/?p=4747"},"modified":"2023-04-20T20:42:35","modified_gmt":"2023-04-20T12:42:35","slug":"hcip-ai-ei-developer-v2-0-%e8%80%83%e8%af%95%e8%ae%a4%e8%af%81%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/www.59xuexi.com\/?p=4747","title":{"rendered":"HCIP-AI EI Developer V2.0 \u8003\u8bd5\u8ba4\u8bc1\u4ecb\u7ecd"},"content":{"rendered":"

HCIP-AI EI Developer V2.0<\/b>\u8003\u8bd5\u5927\u7eb2<\/h1>\n\n\n\n\n
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\u8003\u8bd5\u6982\u8ff0 <\/span>\u8ba4\u8bc1\u540d\u79f0<\/p>\n<\/td>\n
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\u8003\u8bd5\u4ee3\u7801<\/p>\n<\/td>\n
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\u8003\u8bd5\u540d\u79f0<\/p>\n<\/td>\n
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\u8003\u8bd5\u8bed\u8a00<\/p>\n<\/td>\n
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\u8003\u8bd5\u65f6\u957f<\/p>\n<\/td>\n
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\u901a\u8fc7\u5206\u6570\/<\/b>\u603b\u5206<\/p>\n<\/td>\n<\/tr>\n
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HCIP-AI EI Developer<\/p>\n<\/td>\n
\n
H13-321<\/p>\n<\/td>\n
\n
HCIP-AI EI Developer V2.0<\/p>\n<\/td>\n
\n
\u4e2d\u6587<\/p>\n<\/td>\n
\n
90min<\/p>\n<\/td>\n
\n
600\/1000<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
$\"H13-321\"$ <\/p>\n
\u8003\u8bd5\u8303\u56f4<\/h2>\n
\u534e\u4e3a\u4f01\u4e1a\u9ad8\u7ea7AI\u5f00\u53d1\u5de5\u7a0b\u5e08\u8ba4\u8bc1HCIP-AI EI Developer V2.0\u8003\u8bd5\u8986\u76d6:<\/p>\n
\uff081\uff09\u795e\u7ecf\u7f51\u7edc\u57fa\u7840\uff1b<\/p>\n
\uff082\uff09\u56fe\u50cf\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528\uff1b<\/p>\n
\uff083\uff09\u8bed\u97f3\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528\uff1b<\/p>\n
\uff084\uff09\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528\uff1b<\/p>\n
\uff085\uff09\u534e\u4e3aAI\u53d1\u5c55\u6218\u7565\u4e0e\u5168\u6808\u5168\u573a\u666f\u89e3\u51b3\u65b9\u6848\u4ecb\u7ecd\uff1b<\/p>\n
\uff086\uff09ModelArts\u6982\u89c8\uff1b<\/p>\n
\uff087\uff09\u56fe\u50cf\u5904\u7406\u5b9e\u9a8c\uff1b<\/p>\n
\uff088\uff09\u8bed\u97f3\u5904\u7406\u5b9e\u9a8c\uff1b<\/p>\n
\uff089\uff09\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5b9e\u9a8c\uff1b<\/p>\n
\uff0810\uff09ModelArts\u5e73\u53f0\u5f00\u53d1\u5b9e\u9a8c<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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\u77e5\u8bc6\u70b9<\/p>\n<\/td>\n
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\u5360\u6bd4<\/p>\n<\/td>\n<\/tr>\n
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1. \u795e\u7ecf\u7f51\u7edc\u57fa\u7840<\/p>\n<\/td>\n
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4%<\/p>\n<\/td>\n<\/tr>\n
\n
2. \u56fe\u50cf\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n<\/td>\n
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26%<\/p>\n<\/td>\n<\/tr>\n
\n
3. \u8bed\u97f3\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n<\/td>\n
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12%<\/p>\n<\/td>\n<\/tr>\n
\n
4. \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n<\/td>\n
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8%<\/p>\n<\/td>\n<\/tr>\n
\n
5. \u534e\u4e3aAI\u53d1\u5c55\u6218\u7565\u4e0e\u5168\u6808\u5168\u573a\u666f\u89e3\u51b3\u65b9\u6848\u4ecb\u7ecd<\/p>\n<\/td>\n
\n
2%<\/p>\n<\/td>\n<\/tr>\n
\n
6. ModelArts\u6982\u89c8<\/p>\n<\/td>\n
\n
4%<\/p>\n<\/td>\n<\/tr>\n
\n
7. \u56fe\u50cf\u5904\u7406\u5b9e\u9a8c<\/p>\n<\/td>\n
\n
12%<\/p>\n<\/td>\n<\/tr>\n
\n
8. \u8bed\u97f3\u5904\u7406\u5b9e\u9a8c<\/p>\n<\/td>\n
\n
12%<\/p>\n<\/td>\n<\/tr>\n
\n
9. \u81ea\u7136\u8bed\u8a00\u5904\u7406\u5b9e\u9a8c<\/p>\n<\/td>\n
\n
5%<\/p>\n<\/td>\n<\/tr>\n
\n
10. ModelArts\u5e73\u53f0\u5f00\u53d1\u5b9e\u9a8c<\/p>\n<\/td>\n
\n
15%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n
\n
11.\u8bed\u97f3\u8bc6\u522b\u7f16\u7a0b\u5b9e\u9a8c<\/p>\n<\/td>\n
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XX%<\/p>\n<\/td>\n<\/tr>\n
\n
12.\u4eba\u673a\u5bf9\u8bdd\u7f16\u7a0b\u5b9e\u9a8c<\/p>\n<\/td>\n
\n
XX%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
1. <\/b>\u795e\u7ecf\u7f51\u7edc\u57fa\u7840<\/p>\n
1.1 \u6df1\u5ea6\u5b66\u4e60\u9884\u5907\u77e5\u8bc6<\/p>\n
1.2 \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc<\/p>\n
1.3 \u6df1\u5ea6\u524d\u9988\u7f51\u7edc<\/p>\n
1.4 \u53cd\u5411\u4f20\u64ad<\/p>\n
1.5 \u795e\u7ecf\u7f51\u7edc\u67b6\u6784\u8bbe\u8ba1<\/p>\n
2. <\/b>\u56fe\u50cf\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n
2.1 \u8ba1\u7b97\u673a\u89c6\u89c9\u6982\u89c8<\/p>\n
2.2 \u6570\u5b57\u56fe\u50cf\u5904\u7406\u57fa\u7840<\/p>\n
2.3 \u56fe\u50cf\u9884\u5904\u7406\u6280\u672f<\/p>\n
2.4 \u56fe\u50cf\u5904\u7406\u57fa\u672c\u4efb\u52a1<\/p>\n
2.5 \u7279\u5f81\u63d0\u53d6\u548c\u4f20\u7edf\u56fe\u50cf\u5904\u7406\u7b97\u6cd5<\/p>\n
2.6 \u6df1\u5ea6\u5b66\u4e60\u548c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/p>\n
3. <\/b>\u8bed\u97f3\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n
3.1 \u8bed\u97f3\u5904\u7406\u4ecb\u7ecd\uff1a\u8bed\u97f3\u5904\u7406\uff0c\u8bed\u97f3\u8bc6\u522b\uff0c\u8bed\u97f3\u5408\u6210\uff0c\u8bed\u97f3\u4fe1\u53f7<\/p>\n
3.2 \u4f20\u7edf\u8bed\u97f3\u6a21\u578b<\/p>\n
3.2.1 GMM\uff08\u9ad8\u65af\u6df7\u5408\u6a21\u578b\uff09<\/p>\n
3.2.2 HMM\uff08\u9690\u9a6c\u5c14\u79d1\u592b\u6a21\u578b\uff09<\/p>\n
3.2.3 GMM-HMM\uff08\u9ad8\u65af\u6df7\u5408\u6a21\u578b-\u9690\u9a6c\u5c14\u79d1\u592b\u6a21\u578b\uff09<\/p>\n
3.3 \u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/p>\n
3.3.1 DNN\uff08\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff09<\/p>\n
3.3.2 DNN-HMM\uff08\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc-\u9690\u9a6c\u5c14\u79d1\u592b\u6a21\u578b\uff09<\/p>\n
3.3.3 CD-DNN-HMM<\/p>\n
3.4 \u9ad8\u7ea7\u8bed\u97f3\u6a21\u578b<\/p>\n
3.4.1 RNN\uff08\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff09<\/p>\n
3.4.2 LSTM\uff08\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff09<\/p>\n
3.5 \u6280\u672f\u524d\u6cbf\u4e0e\u672a\u6765\u5c55\u671b<\/p>\n
4. <\/b>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7406\u8bba\u548c\u5e94\u7528<\/p>\n
4.1 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u4ecb\u7ecd<\/p>\n
4.2 \u9884\u5907\u77e5\u8bc6<\/p>\n
4.2.1\u8bed\u8a00\u6a21\u578b<\/p>\n
4.2.2\u6587\u672c\u5411\u91cf\u5316<\/p>\n
4.2.3\u5e38\u7528\u7b97\u6cd5<\/p>\n
4.3 \u5173\u952e\u6280\u672f<\/p>\n
4.3.1\u5206\u8bcd<\/p>\n
4.3.2\u8bcd\u6027\u6807\u6ce8<\/p>\n
4.3.3\u547d\u540d\u5b9e\u4f53\u8bc6\u522b<\/p>\n
4.3.4\u5b9e\u4f53\u5173\u7cfb\u62bd\u53d6<\/p>\n
4.3.5\u53e5\u6cd5\u5206\u6790<\/p>\n
4.3.6\u8bed\u4e49\u5206\u6790<\/p>\n
4.4 \u5e94\u7528\u7cfb\u7edf<\/p>\n
4.4.1\u6587\u672c\u5206\u7c7b<\/p>\n
4.4.2\u6587\u672c\u805a\u7c7b<\/p>\n
4.4.3\u673a\u5668\u7ffb\u8bd1<\/p>\n
4.4.4\u95ee\u7b54\u7cfb\u7edf<\/p>\n
4.4.5\u4fe1\u606f\u8fc7\u6ee4<\/p>\n
4.4.6\u81ea\u52a8\u6587\u6458<\/p>\n
4.4.7\u4fe1\u606f\u62bd\u53d6<\/p>\n
4.4.8\u8206\u60c5\u5206\u6790<\/p>\n
4.4.9\u673a\u5668\u5199\u4f5c<\/p>\n
5. <\/b>\u534e\u4e3aAI<\/b>\u53d1\u5c55\u6218\u7565\u4e0e\u5168\u6808\u5168\u573a\u666f\u89e3\u51b3\u65b9\u6848\u4ecb\u7ecd<\/p>\n
5.1 \u4eba\u5de5\u667a\u80fd\u662f\u4e00\u79cd\u65b0\u7684\u901a\u7528\u76ee\u7684\u6280\u672f<\/p>\n
5.2 \u5341\u5927\u6539\u53d8\u5f00\u521b\u672a\u6765<\/p>\n
5.3 \u534e\u4e3a\u7684AI\u53d1\u5c55\u6218\u7565<\/p>\n
5.4 \u534e\u4e3a\u7684AI\u89e3\u51b3\u65b9\u6848<\/p>\n
6. ModelArts<\/b>\u6982\u89c8<\/p>\n
6.1 \u4eba\u5de5\u667a\u80fd\u6982\u8ff0<\/p>\n
6.1.1\u4ec0\u4e48\u662f\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60<\/p>\n
6.1.2 AI\u5f00\u53d1\u901a\u7528\u8fc7\u7a0b<\/p>\n
6.2 ModelArts\u6982\u8ff0<\/p>\n
6.2.1 ModelArts\u5728EI\u4e2d\u7684\u4f4d\u7f6e<\/p>\n
6.2.2 ModelArts\u6570\u636e<\/p>\n
6.2.3 ModelArts\u8bad\u7ec3\uff083\u7c7b\u7528\u6237\uff09<\/p>\n
6.2.4 ModelArts\u90e8\u7f72<\/p>\n
6.2.5 ModelArts\u5e02\u573a<\/p>\n
7. <\/b>\u56fe\u50cf\u5904\u7406\u5b9e\u9a8c<\/p>\n
7.1 \u56fe\u50cf\u6570\u636e\u9884\u5904\u7406\uff08Image Preprocessing Service\uff09<\/p>\n
7.2 \u56fe\u50cf\u8bc6\u522b\u670d\u52a1\uff08Image Recognition Service\uff09<\/p>\n
7.3 \u5185\u5bb9\u5ba1\u6838\u670d\u52a1\uff08Content Moderation Service\uff09<\/p>\n
7.4 \u6587\u5b57\u8bc6\u522b\u670d\u52a1\uff08Optical Character Recognition Service\uff09<\/p>\n
7.5 \u4eba\u8138\u8bc6\u522b\u670d\u52a1\uff08Face Recognition Service\uff09<\/p>\n
7.6 \u89c6\u9891\u5206\u6790\u670d\u52a1\uff08Video Analysis Service\uff09<\/p>\n
7.7 \u56fe\u50cf\u641c\u7d22\u670d\u52a1\uff08Image Search Service\uff09<\/p>\n
8. <\/b>\u8bed\u97f3\u5904\u7406\u5b9e\u9a8c<\/p>\n
8.1 \u8bed\u97f3\u9884\u5904\u7406<\/p>\n
8.2 \u8bed\u97f3\u5408\u6210\u670d\u52a1\uff08Text To Speech Service\uff09<\/p>\n
8.3 \u8bed\u97f3\u8bc6\u522b\u670d\u52a1\uff08Automatic Speech Recognition Service\uff09<\/p>\n
9. <\/b>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5b9e\u9a8c<\/p>\n
9.1 \u4e2d\u6587\u6587\u672c\u5206\u8bcd<\/p>\n
9.2 TF-IDF\u7279\u5f81\u5904\u7406<\/p>\n
9.3 Word2Vec<\/p>\n
9.3.1 skip-gram<\/p>\n
9.3.2 CBOW\uff08\u8fde\u7eed\u5f0f\u8bcd\u888b\u6a21\u578b\uff09<\/p>\n
9.4 Doc2Vec<\/p>\n
9.4.1 DBOW\uff08\u5206\u5e03\u5f0f\u8bcd\u888b\u6a21\u578b\uff09<\/p>\n
9.4.2 DM\uff08\u5206\u5e03\u5f0f\u8bb0\u5fc6\u6a21\u578b\uff09<\/p>\n
9.5 \u81ea\u7136\u8bed\u8a00\u5904\u7406\u670d\u52a1\uff08Natural Language Processing Service\uff09<\/p>\n
9.6 \u5bf9\u8bdd\u673a\u5668\u4eba\u670d\u52a1\uff08Conversational Bot Service\uff09<\/p>\n
10. ModelArts<\/b>\u5e73\u53f0\u5f00\u53d1\u5b9e\u9a8c<\/p>\n
10.1 \u81ea\u52a8\u5b66\u4e60<\/p>\n
10.1.1\u82b1\u5349\u8bc6\u522b\u5e94\u7528<\/p>\n
10.1.2\u4e91\u5b9d\u68c0\u6d4b\u5e94\u7528<\/p>\n
10.1.3\u94f6\u884c\u8d37\u6b3e\u9884\u6d4b\u5e94\u7528<\/p>\n
10.2 \u6570\u636e\u7ba1\u7406<\/p>\n
10.2.1\u82b1\u5349\u8bc6\u522b\u6570\u636e\u6807\u6ce8<\/p>\n
10.2.2\u4e91\u5b9d\u68c0\u6d4b\u6570\u636e\u6807\u6ce8<\/p>\n
10.2.3\u4f7f\u7528OBS\u4e0a\u4f20\u6570\u636e\u96c6<\/p>\n
10.2.4\u5e02\u573a\u5bfc\u5165\u6570\u636e\u96c6<\/p>\n
10.2.5\u4eba\u8138\u8bc6\u522b\u6570\u636e\u96c6\u4e0a\u4f20<\/p>\n
10.3 \u6df1\u5ea6\u5b66\u4e60\u9884\u7f6e\u7b97\u6cd5<\/p>\n
10.3.1\u82b1\u5349\u8bc6\u522b\u5e94\u7528<\/p>\n
10.3.2\u4e91\u5b9d\u68c0\u6d4b\u5f15\u7528<\/p>\n
10.4 \u6df1\u5ea6\u5b66\u4e60\u81ea\u5b9a\u4e49\u57fa\u7840\u7b97\u6cd5<\/p>\n
10.4.1\u4f7f\u7528\u539f\u751fTensorFlow\u5b9e\u73b0\u624b\u5199\u6570\u5b57\u8bc6\u522b<\/p>\n
10.4.2\u4f7f\u7528MoXing-TensorFlow\u5b9e\u73b0\u82b1\u5349\u8bc6\u522b<\/p>\n
10.4.3\u4f7f\u7528\u539f\u751fMXNet\u5b9e\u73b0\u624b\u5199\u6570\u5b57\u8bc6\u522b<\/p>\n
10.4.4\u4f7f\u7528MoXing-MXNet\u5b9e\u73b0\u82b1\u5349\u8bc6\u522b<\/p>\n
10.5 \u6df1\u5ea6\u5b66\u4e60\u81ea\u5b9a\u4e49\u8fdb\u9636\u7b97\u6cd5<\/p>\n
10.5.1\u4eba\u8138\u8bc6\u522b\u5e94\u7528<\/p>\n
10.5.2 resnet50\u7684finetuning<\/p>\n
10.6 \u5e02\u573a<\/p>\n
10.6.1\u82b1\u5349\u8bc6\u522bAPI\u5206\u4eab<\/p>\n
10.6.2\u4e91\u5b9d\u68c0\u6d4b\u6a21\u578b\u5206\u4eab<\/p>\n
\u8bf7\u6ce8\u610f\uff1a \u672c\u6587\u63d0\u5230\u7684\u8003\u8bd5\u5185\u5bb9\u4ec5\u4e3a\u8003\u751f\u63d0\u4f9b\u4e00\u4e2a\u901a\u7528\u7684\u8003\u8bd5\u6307\u5f15\uff0c\u672c\u6587\u672a\u63d0\u5230\u7684\u5176\u4ed6\u76f8\u5173\u5185\u5bb9\u5728\u8003\u8bd5\u4e2d\u4e5f\u6709\u53ef\u80fd\u51fa\u73b0\u3002<\/p>\n
\u53c2\u8003\u8d44\u6599<\/h2>\n
HCIP-AI-EI+Developer+V2.0\u5b98\u65b9\u57f9\u8bad\u6559\u6750-\u9644\u7f51\u76d8\u4e0b\u8f7d\u5730\u5740<\/a><\/p><\/blockquote>\n
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