{"id":91263,"date":"2024-03-19T22:57:10","date_gmt":"2024-03-19T14:57:10","guid":{"rendered":"http:\/\/lrxjmw.cn\/?p=91263"},"modified":"2024-03-19T22:57:10","modified_gmt":"2024-03-19T14:57:10","slug":"machine-learning-5","status":"publish","type":"post","link":"https:\/\/lrxjmw.cn\/machine-learning-5.html","title":{"rendered":"\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684 5 \u4e2a\u672a\u6765\u9884\u6d4b"},"content":{"rendered":"

\"\"<\/a><\/p>\n

\u673a\u5668\u5b66\u4e60\u76ee\u524d\u662f IT \u9886\u57df\u6700\u70ed\u95e8\u7684\u8bdd\u9898\u4e4b\u4e00\uff0c\u8fd9\u662f\u56e0\u4e3a\u5b83\u5728\u770b\u4f3c\u65e0\u9650\u7684\u5e94\u7528\u573a\u666f\u4e2d\u90fd\u80fd\u53d1\u6325\u81ea\u8eab\u7684\u4f5c\u7528\u3002\u4ece\u68c0\u6d4b\u6b3a\u8bc8\u7f51\u7ad9\u5230\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\uff0c\u518d\u5230\u8bc6\u522b\u4f60\u7684\u201c\u91d1\u724c\u4f1a\u5458\u201d\u8eab\u4efd\u4ee5\u8fdb\u884c\u4ef7\u683c\u9884\u6d4b\u7b49\u7b49\u3002<\/p>\n

\u4f46\u8fd9\u4e2a\u5982\u6b64\u6709\u5438\u5f15\u529b\u7684\u9886\u57df\u672a\u6765\u5c06\u5982\u4f55\u53d1\u5c55\uff1f\u4f1a\u8d70\u5411\u4f55\u5904\uff1f\u4e0b\u4e00\u4e2a\u6700\u597d\u7684\u4e1c\u897f\u53c8\u5c06\u662f\u4ec0\u4e48\uff1f\u672a\u6765\u5341\u5e74\u6211\u4eec\u5c06\u5904\u4e8e\u4ec0\u4e48\u6837\u7684\u4f4d\u7f6e\uff1f\u65e0\u8bba\u4e0b\u4e00\u4e2a\u5de8\u5927\u7684\u6539\u53d8\u662f\u5426\u4f1a\u7ed9\u6211\u4eec\u6240\u6709\u4eba\u5e26\u6765\u60ca\u559c\uff0c\u672c\u6587\u5c06\u5bf9\u673a\u5668\u5b66\u4e60\u5c06\u53d1\u6325\u4f5c\u7528\u7684\u9886\u57df\u548c\u7528\u4f8b\u505a\u51fa\u4e94\u4e2a\u9884\u6d4b\u3002<\/p>\n

1. \u91cf\u5b50\u8ba1\u7b97(Quantum Computing)<\/strong><\/div>\n

\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u6d89\u53ca\u5230\u8bf8\u5982\u5728\u9ad8\u7ef4\u7a7a\u95f4\u4e2d\u5bf9\u5927\u91cf\u5411\u91cf\u8fdb\u884c\u5904\u7406\u548c\u5206\u7c7b\u7684\u95ee\u9898\u3002\u6211\u4eec\u76ee\u524d\u7528\u6765\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u7684\u7ecf\u5178\u7b97\u6cd5\u90fd\u9700\u8981\u8017\u8d39\u76f8\u5f53\u7684\u65f6\u95f4\u3002\u800c\u91cf\u5b50\u8ba1\u7b97\u673a\u5728\u5904\u7406\u5de8\u5927\u5f20\u91cf\u79ef(tensor product)\u7a7a\u95f4\u4e2d\u7684\u9ad8\u7ef4\u5411\u91cf\u65f6\uff0c\u53ef\u80fd\u4f1a\u5904\u7406\u5f97\u66f4\u597d\u3002\u65e0\u8bba\u662f\u6709\u76d1\u7763\u8fd8\u662f\u65e0\u76d1\u7763\u7684\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53d1\u5c55\uff0c\u90fd\u80fd\u6bd4\u7ecf\u5178\u7b97\u6cd5\u66f4\u5feb\u901f\u5730\u4ee5\u6307\u6570\u65b9\u5f0f\u589e\u52a0\u5411\u91cf\u6570\u548c\u7ef4\u6570\uff0c\u8fd9\u5c06\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u8fd0\u884c\u901f\u5ea6\u7684\u5927\u5e45\u589e\u52a0\u3002<\/p>\n

\u76f8\u5173\u5f00\u6e90\u9879\u76ee\u63a8\u8350\uff1a<\/p>\n

OpenFermion \u2014\u00a0\u8c37\u6b4c\u4e0e\u91cf\u5b50\u8ba1\u7b97\u673a\u521b\u4f01 Rigetti \u5408\u4f5c\u5f00\u53d1\u7684\u5f00\u6e90\u91cf\u5b50\u8f6f\u4ef6<\/strong><\/p>\n

\u8fd9\u662f\u4e00\u4e2a\u7528\u4e8e\u7f16\u8bd1\u548c\u5206\u6790\u91cf\u5b50\u7b97\u6cd5\u6765\u6a21\u62df\u8d39\u7c73\u5b50\u7cfb\u7edf\uff0c\u5305\u62ec\u91cf\u5b50\u5316\u5b66\uff0c\u5176\u4ed6\u529f\u80fd\u65b9\u9762\uff0c\u5f53\u524d\u7248\u672c\u7684\u7279\u5f81\u662f\u7528\u6570\u636e\u7ed3\u6784\u548c\u5de5\u5177\u83b7\u53d6\u548c\u64cd\u7eb5\u8d39\u7c73\u5b50\u548c\u91cf\u5b50\u4f4d\u54c8\u5bc6\u987f\u7b97\u5b50\u7684\u8868\u793a\u3002<\/p>\n

\u8fd9\u6b3e\u8f6f\u4ef6\u5185\u5305\u542b\u4e86\u4e00\u4e2a\u7b97\u6cd5\u5e93\uff0c\u53ef\u4ee5\u5728\u91cf\u5b50\u8ba1\u7b97\u673a\u4e0a\u6a21\u62df\u7535\u5b50\u76f8\u4e92\u4f5c\u7528\uff0c\u975e\u5e38\u9002\u4e8e\u5316\u5b66\u3001\u6750\u6599\u5b66\u65b9\u9762\u7684\u7814\u7a76\u3002 \u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605\u8bba\u6587\u8fde\u63a5<\/a>\u3002<\/p><\/blockquote>\n

2. \u66f4\u597d\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5(Unsupervised Algorithms)<\/strong><\/div>\n

\u5f53\u7ed9\u5b66\u4e60\u7b97\u6cd5\u8f93\u5165\u7684\u6570\u636e\u6ca1\u6709\u8d4b\u4e88\u6807\u7b7e\u65f6\uff0c\u5c31\u53ef\u4ee5\u8ba4\u4e3a\u662f\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u5b83\u81ea\u5df1\u4f1a\u5728\u8f93\u5165\u7684\u6570\u636e\u4e2d\u627e\u5230\u7ed3\u6784\u3002\u4e8b\u5b9e\u4e0a\uff0c\u65e0\u76d1\u7763\u5b66\u4e60\u672c\u8eab\u5c31\u662f\u4e00\u4e2a\u76ee\u6807\uff0c\u6bd4\u5982\u53d1\u73b0\u6570\u636e\u4e2d\u9690\u85cf\u7684\u6a21\u5f0f\uff0c\u6216\u8005\u5b9e\u73b0\u76ee\u7684\u7684\u624b\u6bb5\uff0c\u901a\u5e38\u4e5f\u4f1a\u628a\u65e0\u76d1\u7763\u5b66\u4e60\u79f0\u4e3a\u7279\u5f81\u5b66\u4e60\u3002\u6784\u5efa\u66f4\u667a\u80fd\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\u7684\u8fdb\u6b65\uff0c\u5c06\u4f1a\u5e26\u6765\u66f4\u5feb\u3001\u66f4\u51c6\u786e\u7684\u7ed3\u679c\u3002<\/p>\n

\u76f8\u5173\u5f00\u6e90\u9879\u76ee\u63a8\u8350\uff1a<\/p>\n

CycleGAN \u2014\u00a0\u751f\u6210\u5bf9\u6297\u7f51\u7edc\u56fe\u50cf\u5904\u7406\u5de5\u5177<\/strong><\/p>\n

\u751f\u6210\u5bf9\u6297\u7f51\u7edc(GAN)\u53ef\u4ee5\u5b9e\u73b0\u80fd\u89e3\u51b3\u65e0\u76d1\u7763\u5b66\u4e60\u95ee\u9898\u7684\u6a21\u578b\uff0cGAN \u7684\u7f51\u7edc\u7ed3\u6784\u662f\u5177\u6709\u98a0\u8986\u6027\u7684\uff0cYann LeCun \u5728\u4e00\u6b21\u5173\u4e8e\u8fd9\u4e2a\u7814\u7a76\u7684\u6f14\u8bb2\u4e2d\u5982\u6b64\u8bc4\u8bba\uff1a\u300cGAN \u662f\u673a\u5668\u5b66\u4e60\u8fc7\u53bb\u7684 20 \u5e74\u91cc\u6700\u91cd\u8981\u7684\u601d\u60f3\u4e4b\u4e00\u3002\u300d<\/p>\n

CycleGAN \u8fd9\u4e2a\u9879\u76ee\u4e0e\u5176\u5b83\u4eba\u5de5\u667a\u80fd\u7ed8\u753b\u4e0d\u540c\uff0cCycleGAN \u7684\u7814\u7a76\u56e2\u961f\u8bd5\u56fe\u5efa\u7acb\u4e00\u4e2a\u53ef\u53cc\u5411\u8f6c\u5316\u4e0d\u4e22\u5931\u4fe1\u606f\u7684\u53cc\u5411\u7b97\u6cd5\u3002\u7814\u7a76\u56e2\u961f\u5fc5\u987b\u4ee5\u673a\u5668\u53ef\u4ee5\u7406\u89e3\u7684\u65b9\u5f0f\u53bb\u63cf\u8ff0\u6bcf\u79cd\u98ce\u683c\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5e76\u7ed9\u673a\u5668 \u201c\u5403\u4e0b\u201d \u5927\u91cf\u6765\u81ea Flicker \u7684\u7167\u7247\u8fdb\u884c\u8bad\u7ec3\u3002<\/p><\/blockquote>\n

3. \u534f\u540c\u5b66\u4e60(Collaborative Learning)<\/strong><\/div>\n

\u534f\u540c\u5b66\u4e60\u7b80\u5355\u6765\u8bf4\u5c31\u662f\u5229\u7528\u4e0d\u540c\u7684\u8ba1\u7b97\u5b9e\u4f53\uff0c\u4f7f\u5b83\u4eec\u5171\u540c\u534f\u4f5c\uff0c\u4ee5\u4ea7\u751f\u6bd4\u81ea\u5df1\u6240\u53d6\u5f97\u7684\u66f4\u597d\u7684\u5b66\u4e60\u6210\u679c\u3002\u4e00\u4e2a\u5178\u578b\u7684\u4f8b\u5b50\u5c31\u662f\u5229\u7528\u7269\u8054\u7f51\u4f20\u611f\u5668\u7f51\u7edc\u7684\u8282\u70b9\u8fdb\u884c\u5206\u6790\uff0c\u6216\u79f0\u4e3a\u8fb9\u7f18\u5206\u6790\u3002\u968f\u7740\u7269\u8054\u7f51\u7684\u53d1\u5c55\uff0c\u5c06\u4f1a\u6709\u8d8a\u6765\u8d8a\u591a\u5355\u72ec\u7684\u5b9e\u4f53\u88ab\u7528\u6765\u4ee5\u591a\u79cd\u65b9\u5f0f\u8fdb\u884c\u534f\u540c\u5b66\u4e60\u3002<\/p>\n

4. \u6df1\u5ea6\u4e2a\u6027\u5316\u63a8\u8350(Deeper Personalization)<\/strong><\/div>\n

\u4e2a\u6027\u5316\u63a8\u8350\u65e2\u662f\u4f1f\u5927\u7684\uff0c\u4f46\u5b83\u540c\u6837\u4e5f\u4f1a\u4ee4\u7528\u6237\u611f\u5230\u538c\u70e6\u3002\u6211\u4eec\u7ecf\u5e38\u4f1a\u6536\u5230\u4e00\u4e9b\u6ca1\u6709\u4ec0\u4e48\u4ef7\u503c\u7684\u5efa\u8bae\uff0c\u800c\u90a3\u4e9b\u4e2a\u6027\u5316\u63a8\u8350\u4f3c\u4e4e\u4e0e\u6211\u4eec\u5b9e\u9645\u4e0a\u53ef\u80fd\u611f\u5174\u8da3\u7684\u4efb\u4f55\u4e1c\u897f\u6ca1\u6709\u4efb\u4f55\u5b9e\u9645\u7684\u5173\u7cfb\u3002\u4f46\u5c06\u6765\uff0c\u51ed\u7740\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u53d1\u5c55\uff0c\u76f8\u4fe1\u7528\u6237\u5c06\u4f1a\u6536\u5230\u66f4\u7cbe\u786e\u7684\u5efa\u8bae\uff0c\u63a8\u9001\u7684\u5e7f\u544a\u4e5f\u53d8\u5f97\u66f4\u6709\u6548\uff0c\u51c6\u786e\u6027\u4e5f\u66f4\u9ad8\u3002\u7528\u6237\u4f53\u9a8c\u4e5f\u5c06\u5927\u5927\u63d0\u5347\u3002<\/p>\n

\u76f8\u5173\u5f00\u6e90\u9879\u76ee\u63a8\u8350\uff1a<\/p>\n

Apache PredictionIO \u2014\u00a0\u9762\u5411\u5f00\u53d1\u8005\u548c\u6570\u636e\u79d1\u5b66\u5bb6\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u670d\u52a1\u5668<\/strong><\/p>\n

PredictionIO\u00a0 \u4e0d\u4e45\u524d\u4ece Apache \u5b75\u5316\u9879\u76ee\u4e2d\u8131\u80ce\u800c\u51fa\uff0c\u5ba3\u5e03\u6210\u4e3a Apache \u9876\u7ea7\u9879\u76ee\u3002<\/p>\n

PredictionIO \u662f\u9762\u5411\u5f00\u53d1\u8005\u548c\u6570\u636e\u79d1\u5b66\u5bb6\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u670d\u52a1\u5668\u3002\u5b83\u652f\u6301\u4e8b\u4ef6\u91c7\u96c6\u3001\u7b97\u6cd5\u8c03\u5ea6\u3001\u8bc4\u4f30\uff0c\u4ee5\u53ca\u7ecf\u7531 REST APIs \u7684\u9884\u6d4b\u7ed3\u679c\u67e5\u8be2\u3002\u4f7f\u7528\u8005\u53ef\u4ee5\u901a\u8fc7 PredictionIO \u505a\u4e00\u4e9b\u9884\u6d4b\uff0c\u6bd4\u5982\u4e2a\u6027\u5316\u63a8\u8350\u3001\u53d1\u73b0\u5185\u5bb9\u7b49\u3002PredictionIO \u63d0\u4f9b 20 \u4e2a\u9884\u8bbe\u7b97\u6cd5\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u76f4\u63a5\u5c06\u5b83\u4eec\u8fd0\u884c\u4e8e\u81ea\u5df1\u7684\u6570\u636e\u4e0a\u3002\u51e0\u4e4e\u4efb\u4f55\u5e94\u7528\u4e0e PredictionIO \u96c6\u6210\u90fd\u53ef\u4ee5\u53d8\u5f97\u66f4\u201c\u806a\u660e\u201d\u3002\u5176\u4e3b\u8981\u7279\u70b9\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n