{"id":37010,"date":"2021-08-26T10:00:05","date_gmt":"2021-08-26T02:00:05","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=37010"},"modified":"2021-10-04T23:23:30","modified_gmt":"2021-10-04T15:23:30","slug":"%e6%a5%8a%e7%ab%8b%e6%98%86-yann-lecun%ef%bc%881960-%ef%bc%89","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=37010","title":{"rendered":"\u694a\u7acb\u6606 Yann LeCun\uff081960-\uff09"},"content":{"rendered":"<p><span style=\"color: #333399;\"><strong>\u8207Hinton\u6700\u521d\u662f\u5728\u4e00\u6b21\u6703\u8b70\u4e0a\u76f8\u9047\uff0c\u767c\u73fe\u5f7c\u6b64\u6709\u8457\u76f8\u540c\u7684\u7814\u7a76\u4e3b\u984c\uff0c\u65bc\u662f\u96e2\u958b\u6cd5\u570b\u9060\u8d74\u52a0\u62ff\u5927\u6210\u70baHinton\u7684\u535a\u58eb\u5f8c\u7814\u7a76\u751f\u3002\u4ed6\u958b\u767c\u7684\u624b\u5beb\u6578\u5b57\u8fa8\u8b58\u6a21\u578bLeNet\uff0c\u4e0d\u4f46\u662f\u96fb\u8166\u8996\u89ba\u5e38\u898b\u7684\u5377\u7a4d\u795e\u7d93\u7db2\u8def\uff08Convolutional Neural Network\uff0cCNN\uff09\u539f\u578b\uff0c\u66f4\u662f\u9996\u6b21\u5c07\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\u4ed8\u8af8\u5be6\u8e10\uff08\u65bc\u662f\u8b49\u5be6Hinton\u7684\u60f3\u6cd5\u662f\u53ef\u884c\u7684\uff09\u3002\u76ee\u524d\u4efb\u6559\u65bc\u7d10\u7d04\u5927\u5b78\uff0c\u540c\u6642\u662fFacebook\u7684\u9996\u5e2dAI\u79d1\u5b78\u5bb6\u3002\u57282016\u5e74\u7684\u4e00\u5834\u6703\u8b70\u4e2d\uff0c\u4ee5\u4e00\u500b\u300c\u86cb\u7cd5\u7684\u6bd4\u55bb\u300d\u5f37\u8abf\u7121\u76e3\u7763\u5f0f\u5b78\u7fd2\u7684\u91cd\u8981\u6027\uff0c\u537b\u610f\u5916\u5728\u5b78\u8853\u5708\u5f15\u8d77\u8ed2\u7136\u5927\u6ce2\u3002<\/strong><\/span><br \/>\n<!--more--><\/p>\n<p><strong>\u64b0\u6587\uff0fBalboa Crenshaw\uff08\u73fe\u8077\u70ba\u6578\u64da\u79d1\u5b78\u5bb6\uff09\uff5c\u7de8\u8f2f\uff0f\u9ad8\u656c\u5802<\/strong><br \/>\n<strong>\u5be9\u8a02\uff0f\u8a31\u5fd7\u4ef2 \uff08\u570b\u7acb\u5c4f\u6771\u79d1\u6280\u5927\u5b78\u8cc7\u8a0a\u7ba1\u7406\u7cfb\u52a9\u7406\u6559\u6388\uff09<\/strong><\/p>\n<p><span style=\"color: #008080;\"><strong>\u25cf\u300c2001\u592a\u7a7a\u6f2b\u904a\u300d\u5230\u55ae\u677f\u6a5f<\/strong><\/span><\/p>\n<p>1960\u5e747\u67088\u65e5\uff0cYann Andr\u00e9 Le Cun\u51fa\u751f\u65bc\u6cd5\u570b\u5df4\u9ece\u897f\u5317\u908a\u4e00\u500b\u5c0f\u93ae\u4e0a\uff1b\u7531\u65bc\u65e5\u5f8c\u767c\u5c55\u7684\u91cd\u5fc3\u8457\u91cd\u65bc\u7f8e\u52a0\u5169\u570b\uff0c\u70ba\u4e86\u907f\u514d\u82f1\u8a9e\u4f7f\u7528\u8005\u5e38\u5c07\u81ea\u5df1\u59d3\u6c0f\u7684\u4e00\u90e8\u5206\u300cLe\u300d\u8aa4\u8a8d\u70ba\u4e2d\u9593\u540d\uff0c\u65bc\u662f\u6539\u8b8a\u59d3\u6c0f\u66f8\u5beb\u65b9\u5f0f\u70ba\u300cLeCun\u300d\u3002\u7236\u89aa\u662f\u4e00\u4f4d\u822a\u7a7a\u6a5f\u68b0\u5de5\u7a0b\u5e2b\uff0c\u6bcd\u89aa\u662f\u4e00\u4f4d\u5bb6\u5ead\u4e3b\u5a66\uff0c\u53e6\u5916\u9084\u6709\u4e00\u4f4d\u54e5\u54e5\u4e00\u540c\u9577\u5927\u3002\u5c0f\u6642\u5019\u7684LeCun\u53d7\u5230\u7236\u89aa\u7684\u5f71\u97ff\uff0c\u5df2\u7d93\u5c0d\u5404\u7a2e\u79d1\u5b78\u8207\u5de5\u7a0b\u611f\u5230\u5f37\u70c8\u7684\u8208\u8da3\uff0c\u5e38\u5e38\u8207\u54e5\u54e5\u4e00\u8d77\u5efa\u9020\u98db\u6a5f\u6a21\u578b\u8207\u96fb\u5b50\u73a9\u5177\u3002\u4e5d\u6b72\u90a3\u5e74\uff0c\u4ed6\u5728\u4e00\u6b21\u5076\u7136\u7684\u6a5f\u6703\u4e0b\u770b\u4e86\u300c2001\u592a\u7a7a\u6f2b\u904a\u300d\uff08<em>2001: A Space Odyssey<\/em>\uff09\u9019\u90e8\u96fb\u5f71\uff0c\u90a3\u662f\u4ed6\u7b2c\u4e00\u6b21\u770b\u5230\u300c\u6709\u667a\u6167\u300d\u7684\u6a5f\u5668\uff0c\u4ee5\u53ca\u4eba\u985e\u667a\u6167\u5982\u4f55\u6f14\u9032\u7684\u6545\u4e8b\uff0c\u5728LeCun\u7684\u5fc3\u4e2d\u57cb\u4e0b\u4e86\u597d\u5947\u7684\u7a2e\u5b50\u3002<\/p>\n<p>17\u6b72\u90a3\u5e74\uff0c\u4ed6\u8cb7\u4e86\u751f\u5e73\u7b2c\u4e00\u90e8\u96fb\u8166\u3002\u90a3\u662f\u4e00\u53f0\u55ae\u677f\u6a5f\uff08single-board computer\uff09\uff0c\u53ea\u6709\u4e00\u500b\u5c0f\u5c0f\u9375\u76e4\u8207\u4e00\u500b\u53ea\u80fd\u986f\u793a\u516d\u4f4d\u6578\u5b57\u7684\u87a2\u5e55\uff0c\u9664\u4e86\u5fc5\u9808\u81ea\u5df1\u7de8\u7a0b\uff0c\u66f4\u91cd\u9054\u56db\u516c\u65a4\u3002LeCun\u56e0\u70ba\u5c0d\u6587\u85dd\u5fa9\u8208\u97f3\u6a02\u3001\u7235\u58eb\u6a02\u60c5\u6709\u7368\u937e\uff0c\u4e5f\u80fd\u5439\u594f\u96d9\u7c27\u7ba1\u3001\u9577\u7b1b\u7b49\u5404\u7a2e\u53e4\u5178\u6a02\u5668\uff0c\u4fbf\u5229\u7528\u9019\u53f0\u55ae\u677f\u6a5f\u6253\u9020\u51fa\u7c21\u55ae\u7684\u300c\u7ba1\u6a02\u5408\u6210\u5668\u300d\uff08wind synthesizer\uff09\u3002\u7576\u7136\uff0c\u5728\u73a9\u97f3\u6a02\u7684\u540c\u6642\uff0cLeCun\u7684\u7de8\u7a0b\u80fd\u529b\u4e5f\u6709\u9577\u8db3\u7684\u9032\u6b65\u3002<\/p>\n<p><span style=\"color: #008080;\"><strong>\u25cf\u5927\u5b78\u6642\u7684\u5169\u672c\u66f8<\/strong><\/span><\/p>\n<p>\u5927\u5b78\u6642\uff0cLeCun\u5c31\u8b80\u96fb\u6a5f\u5de5\u7a0b\u3002\u90a3\u6642\u4ed6\u4fee\u4e86\u5f88\u591a\u61c9\u7528\u6578\u5b78\u8207\u7269\u7406\u5b78\u7684\u8ab2\uff0c\u4e5f\u958b\u59cb\u5c0d\u795e\u7d93\u79d1\u5b78\u8d77\u4e86\u8208\u8da3\u3002\u4ed6\u505a\u4e86\u4e00\u4e9b\u73fe\u5728\u53ef\u4ee5\u7a31\u70ba\u300c\u4eba\u5de5\u667a\u6167\u300d\u7684\u5c08\u984c\uff0c\u4e0d\u904e\uff0c\u662f\u5927\u5b78\u6642\u671f\u8b80\u5230\u7684\u5169\u672c\u66f8\u5805\u5b9a\u4e86LeCun\u672a\u4f86\u7684\u7814\u7a76\u65b9\u5411\u8207\u8208\u8da3\u3002<\/p>\n<p>\u4e00\u672c\u53eb\u505a\u300a\u8a9e\u8a00\u8207\u5b78\u7fd2\u300b\uff08<em>Language and Learning<\/em>\uff09\uff0c\u9019\u672c\u66f8\u900f\u904e\u54f2\u5b78\u5bb6Jean Piaget\u8207\u8a9e\u8a00\u5b78\u5bb6Noam Chomsky\u5169\u4eba\u4e4b\u9593\u7684\u8faf\u8ad6\uff0c\u4f86\u63a2\u8a0e\u8a9e\u8a00\u7684\u672c\u8cea\uff1a\u8a9e\u8a00\u662f\u8207\u751f\u4ff1\u4f86\u7684\u5929\u8ce6\uff0c\u9084\u662f\u5f8c\u5929\u5b78\u7fd2\u7684\u80fd\u529b\uff1f\u5176\u4e2d\u95dc\u65bc\u300c\u5b78\u7fd2\u6a5f\u5668\u300d\uff08learning machine\uff09\u7684\u8a0e\u8ad6\u66f4\u6df1\u6df1\u5438\u5f15\u8457LeCun\uff1b\u53e6\u4e00\u672c\u300a\u611f\u77e5\u5668\uff1a\u8a08\u7b97\u5e7e\u4f55\u5b78\u6982\u8ad6\u300b\uff08<em>Perceptrons: an introduction to computational geometry<\/em>\uff09\uff0c\u5247\u662f\u7531\u4eba\u5de5\u667a\u6167\u7684\u5148\u9a45Marvin Minsky\u8207Seymour Papert\u5408\u8457\u3002\u9019\u662fLeCun\u7b2c\u4e00\u6b21\u63a5\u89f8\u5230\u300c\u611f\u77e5\u5668\u300d\uff08perceptron\uff09\u9019\u500b\u540d\u8a5e\uff0c\u5c0d\u65bc\u6253\u9020\u4e00\u500b\u300c\u53ef\u5b78\u7fd2\u7684\u6a5f\u5668\u300d\u8e8d\u8e8d\u6b32\u8a66\u3002\u53ea\u662f\uff0c\u540c\u4e00\u672c\u66f8\u4e2d\u4e5f\u540c\u6642\u9ede\u51fa\u4e86\u4f5c\u70ba\u55ae\u5c64\u795e\u7d93\u7db2\u8def\u7684\u611f\u77e5\u5668\u5176\u5be6\u61c9\u7528\u6709\u9650\uff0c\u65bc\u662f\u7121\u8ad6\u662f\u300c\u611f\u77e5\u5668\u300d\u6216\u300c\u53ef\u5b78\u7fd2\u7684\u6a5f\u5668\u300d\uff0c\u9019\u985e\u7d50\u5408\u795e\u7d93\u79d1\u5b78\u8207\u96fb\u8166\u79d1\u5b78\u7684\u7406\u8ad6\u5728\u7576\u6642\u7684\u5b78\u8853\u5708\u57fa\u672c\u4e0a\u5df2\u7d93\u88ab\u4eba\u907a\u5fd8\u3002\u5fa9\u8208\uff0c\u65bc\u662f\u6210\u70baLeCun\u7e7c\u7e8c\u5411\u524d\u7684\u52d5\u529b\u3002<\/p>\n<p><span style=\"color: #008080;\"><strong>\u25cf\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u7684\u5fa9\u8208<\/strong><\/span><\/p>\n<p>LeCun\u5728\u5df4\u9ece\u7b2c\u516d\u5927\u5b78\uff08\u53c8\u7a31Universit\u00e9 Pierre et Marie Curie\uff0c\u73fe\u5df2\u8207\u5df4\u9ece\u7b2c\u56db\u5927\u5b78\u5408\u4f75\u70baSorbonne Universit\u00e9\uff09\u653b\u8b80\u535a\u58eb\u7684\u7b2c\u4e00\u8981\u52d9\uff0c\u4fbf\u662f\u7a81\u7834\u904e\u53bb1960\u5e74\u4ee3\u611f\u77e5\u5668\u795e\u7d93\u5143\u7684\u9650\u5236\uff0c\u767c\u5c55\u51fa\u300c\u591a\u5c64\u795e\u7d93\u7db2\u8def\u300d\uff08Multi-layer neural network\uff09\u8207\u4eca\u65e5\u300c\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\u300d\uff08Backpropagation\uff09\u7684\u96db\u5f62\u3002<\/p>\n<figure id=\"attachment_37011\" aria-describedby=\"caption-attachment-37011\" style=\"width: 700px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-37011 size-full\" src=\"http:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ANN.png\" alt=\"\" width=\"700\" height=\"383\" srcset=\"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ANN.png 700w, https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ANN-300x164.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption id=\"caption-attachment-37011\" class=\"wp-caption-text\">\uff08\u5716\u7247\u4f86\u6e90\uff1a<a href=\"https:\/\/priyalwalpita.medium.com\/convolutional-neural-networks-for-artificial-vision-455be7c85d15#:~:text=Convolutional%20Neural%20Network%20(CNN)%20is,level%20patterns%20automatically%20and%20adaptively.\">Priyal Walpita\uff0fMedium<\/a>\uff09<\/figcaption><\/figure>\n<p>\u4e00\u500b\uff08\u591a\u5c64\uff09\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u6a21\u578b\uff0c\u662f\u7531\u4e00\u500b\u500b\u300c\u795e\u7d93\u5143\u300d\uff08neuron\uff1b\u6c92\u932f\uff0c\u6b63\u662f\u6cbf\u7528\u4e86\u751f\u7269\u5b78\u4e0a\u7684\u540d\u8a5e\uff09\u7d44\u6210\uff0c\u53ef\u4ee5\u5927\u81f4\u5206\u70ba\u4e09\u985e\uff1a\u7b2c\u4e00\u985e\u662f\u8f38\u5165\u7684\u8a0a\u865f\uff0c\u7531\u300c\u8f38\u5165\u795e\u7d93\u5143\u300d\u7d44\u6210\uff0c\u53ef\u4ee5\u662f\u5f71\u50cf\u3001\u8072\u97f3\u6216\u662f\u5176\u4ed6\u4efb\u4f55\u4f60\u60f3\u7814\u7a76\u7684\u8a0a\u865f\uff0c\u901a\u5e38\u7a31\u4e4b\u70ba\u300c\u8f38\u5165\u5c64\u300d\uff1b\u7b2c\u4e8c\u985e\u70ba\u901a\u7a31\u300c\u96b1\u85cf\u5c64\u300d\uff08hidden layer\uff09\u7684\u7d50\u69cb\uff0c\u662f\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u7684\u6838\u5fc3\u6240\u5728\uff1a\u96b1\u85cf\u5c64\u6709\u5e7e\u5c64\uff1f\u6bcf\u5c64\u53c8\u5305\u542b\u591a\u5c11\u500b\u795e\u7d93\u5143\uff1f\u6bcf\u500b\u795e\u7d93\u5143\u53c8\u61c9\u8a72\u5c0d\u6536\u5230\u7684\u8a0a\u865f\u505a\u4ec0\u9ebc\uff08\u5c08\u696d\u8853\u8a9e\u662f\uff1a\u4e58\u4e0a\u591a\u5c11\u300c\u6b0a\u91cdweights\u300d\u4e26\u52a0\u4e0a\u591a\u5c11\u300c\u504f\u5deebias\u300d\uff09\uff1f\u7a2e\u7a2e\u53c3\u6578\u90fd\u95dc\u4e4e\u8457\u6a21\u578b\u7684\u6210\u6557\uff1b\u6700\u5f8c\u4e00\u985e\u662f\u300c\u8f38\u51fa\u5c64\u300d\uff08output layer\uff09\uff0c\u9019\u662f\u8f38\u5165\u7684\u8a0a\u865f\u7d93\u904e\u96b1\u85cf\u5c64\u904b\u7b97\u4e4b\u5f8c\u5f97\u5230\u7684\u7d50\u679c\u3002<\/p>\n<p>\u300c\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\u300d\u4fbf\u662f\u4f9d\u64da\u8f38\u51fa\u5c64\u7684\u7d50\u679c\u4f86\u5206\u6790\u8207\u4fee\u6b63\u6a21\u578b\uff0c\u800c\u9019\u6bb5\u300c\u5206\u6790\u8207\u8abf\u6574\u53c3\u6578\u300d\u7684\u7a0b\u5e8f\uff0c\u6b63\u662f\u6bcf\u500b\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u6b63\u5f0f\u4e0a\u8def\u524d\u7684\u524d\u7f6e\u300c\u8a13\u7df4\u300d\u3002\u7531\u65bc\u662f\u7531\u6700\u5f8c\u4e00\u5c64\u7684\u8f38\u51fa\u5c64\u958b\u59cb\u300c\u5f80\u56de\u8d70\u300d\uff0c\u7d93\u904e\u96b1\u85cf\u5c64\uff0c\u5230\u4e00\u958b\u59cb\u7684\u8f38\u5165\u5c64\uff0c\u9010\u6b65\u8abf\u6574\u6bcf\u500b\u795e\u7d93\u5143\u7684\u6b0a\u91cd\u8207\u504f\u5dee\uff0c\u76f4\u5230\u6700\u5f8c\u5f97\u5230\u7684\u7d50\u679c\u7b26\u5408\u6211\u5011\u7684\u671f\u5f85\uff0c\u56e0\u6b64\u7a31\u70ba\u300c\u53cd\u5411\u300d\u50b3\u64ad\u6f14\u7b97\u6cd5\u3002\u800c\u9019\u7a2e\u9810\u5148\u77e5\u9053\u6a19\u6e96\u7b54\u6848\u6216\u9810\u671f\u6a5f\u5668\u61c9\u8a72\u7d66\u51fa\u4ec0\u9ebc\u7d50\u679c\u7684\u5b78\u7fd2\u65b9\u6cd5\uff0c\u53c8\u7a31\u4f5c\u300c\u76e3\u7763\u5b78\u7fd2\u300d\uff08supervised learning\uff09\u3002<\/p>\n<p>\u96db\u5f62\u96d6\u7136\u662f\u6709\u4e86\uff0c\u4f46\u662f\u7576\u6642LeCun\u7684\u6a5f\u5668\u8655\u7406\u77e9\u9663\u4e58\u6cd5\uff08\u795e\u7d93\u5143\u8a0a\u865f\u64cd\u4f5c\u6642\u6703\u7528\u5230\uff09\u7684\u904b\u7b97\u901f\u5ea6\u9817\u6162\uff0c\u5be6\u5728\u4e0d\u8db3\u8207\u5916\u4eba\u9053\u3002\u76f4\u5230\u4e00\u6b21\u7814\u8a0e\u6703\uff0cLeCun\u7d50\u8b58\u4e86\u7576\u6642\u7531\u7f8e\u570b\u9060\u9053\u800c\u4f86\u7684Geoffrey Hinton\uff0c\u767c\u73feHinton\u7adf\u7136\u4e5f\u5728\u7814\u7a76\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\u3002\u5169\u4f4d\u597d\u50cf\u5f9e\u5e73\u884c\u5b87\u5b99\u800c\u4f86\u7684\u77e5\u97f3\uff0c\u4e00\u62cd\u5373\u5408\uff0c\u9664\u4e86\u5171\u540c\u767c\u5c55\u51fa\u66f4\u5b8c\u5584\u7684\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\uff0cHinton\u4e5f\u9080\u8acbLeCun\u53c3\u52a0\u9694\u5e74\u7684\u6691\u671f\u7814\u8a0e\u6703\u3002\u90a3\u662f1986\u5e74\u7684\u590f\u5929\uff0c\u53ef\u4ee5\u8aaa\u662f\u73fe\u4ee3\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u5fa9\u8208\u7684\u8d77\u9ede\u3002<\/p>\n<p>1987\u5e74\uff0c27\u6b72\u525b\u53d6\u5f97\u535a\u58eb\u5b78\u4f4d\u7684LeCun\uff0c\u5728\u6210\u529f\u91cd\u62fe\u773e\u4eba\u5c0d\u795e\u7d93\u7db2\u8def\u7684\u4fe1\u5fc3\u5f8c\uff0c\u8ddf\u8457Hinton\u4f86\u5230\u52a0\u62ff\u5927\uff0c\u5728\u591a\u502b\u591a\u5927\u5b78\u5c55\u958b\u4ed6\u7684\u535a\u58eb\u5f8c\u7814\u7a76\u54e1\u751f\u6daf\u3002\u540c\u5e74\u51ac\u5929\uff0c\u5728\u8499\u7279\u5a41\u7684\u4e00\u5834\u6f14\u8b1b\u4e0a\uff0c\u4e00\u500b\u5e74\u8f15\u5c0f\u4f19\u5b50\u63d0\u51fa\u4e86\u8a31\u591a\u8070\u660e\u7684\u554f\u984c\uff0c\u64c4\u7372\u4e86LeCun\u7684\u76ee\u5149\uff0c\u56e0\u6b64\u8a8d\u8b58\u4e86\u53e6\u4e00\u4f4d\u672a\u4f86\u7684\u5de5\u4f5c\u5925\u4f34\u2500\u2500Yoshua 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vu\uff08\u610f\u70ba\u4f3c\u66fe\u76f8\u8b58\uff09\u7684\u539f\u56e0\u3002\u8a31\u591a\u85dd\u8853\u8207\u6587\u5316\u7522\u696d\u7684\u6a94\u6848\uff0c\u4f8b\u5982\u5168\u5f69\u96dc\u8a8c\u5167\u9801\u7684\u6383\u63cf\uff0c\u82e5\u4ee5djvu\u7684\u6a94\u6848\u5f62\u5f0f\u5132\u5b58\uff0c\u76f8\u8f03\u65bc\u50b3\u7d71jpeg\u6216pdf\uff0c\u6a94\u6848\u5927\u5c0f\u53ef\u4ee5\u5c0f\u4e0a\u4e94\u500d\u4ee5\u4e0a\u3002<\/p>\n<p>\u6240\u5e78\u786c\u9ad4\u8a2d\u5099\u7684\u6548\u80fd\u96a8\u5f8c\u8fce\u982d\u8d95\u4e0a\uff0c\u7279\u5225\u662f\u8fd1\u5e7e\u5e74\u4f86GPU\uff08Graphic Processing Unit\uff0c\u5716\u50cf\u8655\u7406\u5668\uff09\u5728\u8a31\u591a\u79d1\u5b78\u904b\u7b97\u4e0a\u9010\u6f38\u5d84\u9732\u982d\u89d2\u3002\u8a31\u591a\u7814\u7a76\u8005\u767c\u73feGPU\u5c0d\u65bc\u53ef\u9ad8\u5ea6\u5e73\u884c\u5316\u7684\u7c21\u55ae\u4efb\u52d9\uff08\u4f8b\u5982\u5377\u7a4d\uff09\uff0c\u6709\u8457\u53d6\u4ee3CPU\uff08Central Processing Unit\uff0c\u4e2d\u592e\u8655\u7406\u5668\uff09\u7684\u5de8\u5927\u6f5b\u529b\u3002\u81ea\u6b64\u4e4b\u5f8c\uff0c\u63a5\u8457GPU\u7d50\u5408\u4eba\u5de5\u795e\u7d93\u7db2\u8def\uff0c\u6f38\u6f38\u8d70\u51fa\u4f4e\u8c37<\/p>\n<p><span style=\"color: #008080;\"><strong>\u25cf\u7522\u5b78\u5169\u68f2<\/strong><\/span><\/p>\n<p>2002\u5e74\uff0cLeCun\u96e2\u958b\u4e86AT\uff06T\u5be6\u9a57\u5ba4\uff0c\u5e36\u8457\u7d44\u54e1\u4f86\u5230\u65e5\u672c\u96fb\u6c23\u516c\u53f8\uff08Nippon Electric Company\uff0cNEC\uff09\u4f4d\u65bc\u7f8e\u570b\u666e\u6797\u65af\u9813\u7684\u7814\u7a76\u4e2d\u5fc3\u3002\u7121\u5948\u7576\u6642NEC\u7814\u7a76\u4e2d\u5fc3\u6b63\u503c\u8f49\u578b\u671f\uff0c\u8a31\u591aLeCun\u60f3\u5408\u4f5c\u7684\u7814\u7a76\u5c0d\u8c61\u90fd\u76f8\u7e7c\u51fa\u8d70\uff1b\u4e00\u5e74\u534a\u7684\u77ed\u66ab\u505c\u7559\u5f8c\uff0cLeCun\u518d\u6b21\u8f49\u79fb\u9663\u5730\u4f86\u5230\u7d10\u7d04\u5927\u5b78\uff0c\u4e00\u76f4\u5f85\u5230\u4eca\u65e5\u3002<\/p>\n<p>\u4ed6\u5148\u5f8c\u8207\u5176\u4ed6\u5b78\u8005\u5728\u7d10\u7d04\u5927\u5b78\u6210\u7acb\u4e86\u6578\u64da\u79d1\u5b78\u4e2d\u5fc3\uff0c\u4e26\u64d4\u4efb\u4e2d\u5fc3\u7684\u5171\u540c\u4e3b\u4efb\uff1b2013\u5e74\uff0c\u88abFacebook\u770b\u4e0a\uff0c\u7372\u8058\u64d4\u4efb\u5176\u4e0bAI\u7814\u7a76\u90e8\u9580\u2500\u2500Facebook AI\u2500\u2500\u7684\u4e3b\u4efb\u3002\u4eca\u65e5Facebook\u8207Instagram\u4e0a\u7684\u4eba\u81c9\u8fa8\u8b58\u8207\u81ea\u52d5\u6a19\u8a3b\u529f\u80fd\uff0c\u5f88\u5927\u4e00\u90e8\u5206\u662fLeCun\u8207\u5176\u5718\u968a\u7684\u7814\u7a76\u6210\u679c\u3002\u4e5f\u56e0\u70ba\u5982\u6b64\uff0cLeCun\u7a4d\u6975\u5021\u5c0e\u5728\u6cd5\u5f8b\u3001\u91d1\u878d\u8207\u91ab\u5b78\u754c\u884c\u4e4b\u6709\u5e74\u7684\u7522\u5b78\u5408\u4f5c\u5236\u5ea6\u2500\u2500\u8b93\u5f9e\u4e8b\u8cc7\u6599\u79d1\u5b78\u7814\u7a76\u7684\u5b78\u8005\u4e00\u90e8\u5206\u6642\u9593\u5f85\u5728\u696d\u754c\u3001\u53e6\u4e00\u90e8\u5206\u6642\u9593\u5728\u5927\u5b78\u4efb\u6559\u2500\u2500\u5f15\u9032\u5546\u754c\u7684\u8cc7\u6e90\u8207\u7d93\u71df\u6a21\u5f0f\uff0c\u76f8\u4fe1AI\u7684\u672a\u4f86\u767c\u5c55\u5c07\u5982\u864e\u6dfb\u7ffc\u3002<\/p>\n<p>\u96d6\u8aaa\u9019\u6a23\u300c\u7522\u5b78\u5169\u68f2\u300d\u7684\u5b78\u8005\u4e0d\u5728\u5c11\u6578\uff0c\u7136\u800c\u6a39\u5927\u96e3\u514d\u62db\u98a8\u3002LeCun\u7684\u9019\u500b\u8209\u52d5\u5f15\u8d77\u4e86\u7d10\u7d04\u5927\u5b78\u5176\u4ed6\u540c\u50da\u7684\u975e\u8b70\uff0c\u8a8d\u70ba\u9019\u6703\u6392\u64e0\u4e00\u540d\u6559\u6388\u6295\u6ce8\u5728\u6559\u5b78\u4e0a\u7684\u6642\u9593\u8207\u7cbe\u529b\uff0c\u6b63\u5982\u4e00\u500b\u4eba\u300c\u4e0d\u80fd\u540c\u6642\u670d\u4f8d\u5169\u500b\u4e3b\u4eba\u300d\u3002\u5b70\u662f\u5b70\u975e\uff0c\u6216\u8a31\u53ea\u6709\u6642\u9593\u624d\u80fd\u8b49\u660e\u4e86\uff01<\/p>\n<p>2018\u5e74\uff0cLeCun\u56e0\u70ba\u300c\u5728\u7406\u8ad6\u8207\u5de5\u7a0b\u4e0a\u7684\u7a81\u7834\uff0c\u4f7f\u5f97\u6df1\u5ea6\u795e\u7d93\u7db2\u8def\u6210\u70ba\u96fb\u8166\u4e16\u754c\u4e00\u500b\u4e0d\u53ef\u6216\u7f3a\u7684\u5143\u7d20\u300d\uff0c\u8207Hinton\u53caBengio\u5171\u540c\u7372\u5f97\u4e86\u6709\u300c\u96fb\u8166\u79d1\u5b78\u754c\u7684\u8afe\u8c9d\u723e\u734e\u300d\u4e4b\u7a31\u7684\u675c\u6797\u734e\uff08Turing Award\uff09\u3002\u9664\u4e86\u662f\u5c0d\u7814\u7a76\u7684\u80af\u5b9a\uff0c\u9019\u5ea7\u734e\u9805\u66f4\u70baHinton\u3001LeCun\u8207Bengio\u4e09\u4eba\u4e4b\u9593\uff0c\u9019\u6bb5\u4ea6\u5e2b\u4ea6\u53cb\u7684\u611f\u60c5\u4e0b\u4e86\u6700\u597d\u7684\u8a3b\u89e3\u3002\u5373\u4fbf\u5982\u6b64\uff0cLeCun\u537b\u4f3c\u4e4e\u4e0d\u6eff\u8db3\u65bc\u6b64\u3002<\/p>\n<p>\u4ed6\u66fe\u6253\u904e\u9019\u9ebc\u4e00\u500b\u6bd4\u65b9\uff1a<\/p>\n<blockquote><p>\u4eba\u985e\u8207\u52d5\u7269\u7684\u5b78\u7fd2\u5927\u90fd\u662f\u975e\u76e3\u7763\u5b78\u7fd2\u3002\u6240\u4ee5\u8aaa\u5982\u679c\u300c\u667a\u6167\u300d\u662f\u4e00\u584a\u86cb\u7cd5\uff0c\u90a3\u9ebc\u975e\u76e3\u7763\u5b78\u7fd2\u624d\u662f\u86cb\u7cd5\u672c\u9ad4\uff0c\u76e3\u7763\u5b78\u7fd2\u5247\u662f\u90a3\u5c64\u7cd6\u971c\uff0c\u5f37\u5316\u5b78\u7fd2\uff08\u7de8\u8a3b\uff1a\u53e6\u4e00\u7a2e\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\uff0c\u5176\u539f\u7406\u985e\u4f3c\u5fc3\u7406\u5b78\u4e0a\u7684\u300c\u5236\u7d04\u300d\uff09\u4e0d\u904e\u662f\u4e0a\u982d\u7684\u6afb\u6843\u3002<br \/>\nMost of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake.<\/p><\/blockquote>\n<p><span style=\"color: #000000;\">\u76e3\u7763\u5b78\u7fd2\u6240\u8a13\u7df4\u51fa\u7684\u6a21\u578b\uff0c\u901a\u5e38\u53ea\u6709\u5728\u7279\u5b9a\u76ee\u6a19\u3001\u72f9\u9698\u7684\u7bc4\u570d\u5167\u624d\u6709\u4e0d\u932f\u7684\u6210\u6548\uff0c\u9019\u8207\u4eba\u985e\u8209\u4e00\u53cd\u4e09\u3001\u9451\u5f80\u77e5\u4f86\u7684\u5b78\u7fd2\u65b9\u6cd5\u6709\u5f88\u5927\u7684\u5340\u5225\u3002\u4e0d\u96e3\u770b\u51fa\u5c0d\u65bcLeCun\u800c\u8a00\uff0c\u6211\u5011\u8ddd\u96e2\u771f\u6b63\u7684\u300c\u667a\u6167\u300d\u9084\u6709\u5f88\u9577\u4e00\u6bb5\u8def\u8981\u8d70\u3002<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n<ol>\n<li>Eye on AI. (2019).\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=NDiyxZxa8OM&amp;list=PL80I41oVxglJOokgsaIKw4ZJORQC0Qc_5&amp;index=47\"><em>Episode 17 \u2013 Yann Lecun<\/em><\/a>\u00a0[Video].<\/li>\n<li>LeCun, Y. (2018).\u00a0<a href=\"https:\/\/www.businessinsider.com\/facebook-yann-lecun-dual-affiliation-model-ai-experts-2018-8\">Facebook\u2019s chief AI scientist says that Silicon Valley needs to work more closely with academia to build the future of artificial intelligence<\/a>.<\/li>\n<li>LeCun, Y. (2020).\u00a0<a href=\"http:\/\/yann.lecun.com\/\">Yann LeCun\u2019s Home Page<\/a>.<\/li>\n<li>LeCun, Y., Boser, B., Denker, J., Henderson, D., Howard, R., Hubbard, W., &amp; Jackel, L. (1989). Backpropagation Applied to Handwritten Zip Code Recognition.\u00a0<em>Neural Computation<\/em>,\u00a0<em>1<\/em>(4), 541-551. doi: 10.1162\/neco.1989.1.4.541<\/li>\n<li>Lindsay, G. (2020). Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future.\u00a0<em>Journal\u00a0<\/em><em>o<\/em><em>f Cognitive Neuroscience<\/em>, 1-15. doi: 10.1162\/jocn_a_01544<\/li>\n<li>Minsky, M., &amp; Papert, S. (1988).\u00a0<em>Perceptions. An introduction to computational geometry<\/em>. The MIT Press: Cambridge.<\/li>\n<li>Piaget, J., &amp; Chomsky, N. (1981). In Piattelli-Palmarini, M. (Ed.),\u00a0<em>Language and learning: The Debate between Jean Piaget and Noam Chomsky<\/em>. Cambridge, Mass: Harvard University Press.<\/li>\n<li>Recht, B., Forsyth, D., &amp; Efros, A. (2018).\u00a0<a href=\"http:\/\/www.argmin.net\/2018\/08\/09\/co-employment\/\">You Cannot Serve Two Masters: The Harms of Dual Affiliation<\/a>.<\/li>\n<\/ol>\n<p style=\"text-align: center;\"><span style=\"color: #999999;\">(\u672c\u6587\u70ba\u6559\u80b2\u90e8\u300c\u4eba\u5de5\u667a\u6167\u6280\u8853\u53ca\u61c9\u7528\u4eba\u624d\u57f9\u80b2\u8a08\u756b\u300d\u6210\u679c\u5167\u5bb9)<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8207Hinton\u6700\u521d\u662f\u5728\u4e00\u6b21\u6703\u8b70\u4e0a\u76f8\u9047\uff0c\u767c\u73fe\u5f7c\u6b64\u6709\u8457\u76f8\u540c\u7684\u7814\u7a76\u4e3b\u984c\uff0c\u65bc\u662f\u96e2\u958b\u6cd5\u570b\u9060\u8d74\u52a0\u62ff\u5927\u6210\u70baHinton\u7684\u535a\u58eb\u5f8c\u7814\u7a76\u751f\u3002\u4ed6\u958b\u767c\u7684\u624b\u5beb\u6578\u5b57\u8fa8\u8b58\u6a21\u578bLeNet\uff0c\u4e0d\u4f46\u662f\u96fb\u8166\u8996\u89ba\u5e38\u898b\u7684\u5377\u7a4d\u795e\u7d93\u7db2\u8def\uff08Convolutional Neural Network\uff0cCNN\uff09\u539f\u578b\uff0c\u66f4\u662f\u9996\u6b21\u5c07\u53cd\u5411\u50b3\u64ad\u6f14\u7b97\u6cd5\u4ed8\u8af8\u5be6\u8e10\uff08\u65bc\u662f\u8b49\u5be6Hinton\u7684\u60f3\u6cd5\u662f\u53ef\u884c\u7684\uff09\u3002\u76ee\u524d\u4efb\u6559\u65bc\u7d10\u7d04\u5927\u5b78\uff0c\u540c\u6642\u662fFacebook\u7684\u9996\u5e2dAI\u79d1\u5b78\u5bb6\u3002\u57282016\u5e74\u7684\u4e00\u5834\u6703\u8b70\u4e2d\uff0c\u4ee5\u4e00\u500b\u300c\u86cb\u7cd5\u7684\u6bd4\u55bb\u300d\u5f37\u8abf\u7121\u76e3\u7763\u5f0f\u5b78\u7fd2\u7684\u91cd\u8981\u6027\uff0c\u537b\u610f\u5916\u5728\u5b78\u8853\u5708\u5f15\u8d77\u8ed2\u7136\u5927\u6ce2\u3002<\/p>\n","protected":false},"author":24,"featured_media":37012,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4986,5138,3772,3293],"tags":[5020,5021,5016,4135],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/Yann-LeCun_\u982d\u50cf.png","_links":{"self":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37010"}],"collection":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=37010"}],"version-history":[{"count":4,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37010\/revisions"}],"predecessor-version":[{"id":37038,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/37010\/revisions\/37038"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/media\/37012"}],"wp:attachment":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=37010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=37010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=37010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}