大家好，今天小编来为大家解答人工智能28个术语这个问题，人工智能28个术语大全很多人还不知道，现在让我们一起来看看吧！
本文目录
人工智能的工作原理是什么
浜哄伐鏅鸿兘鐨勫伐浣滃師鐞嗘槸锛?/p>
1銆佸ぇ鑴戞ā鎷?/strong>
20涓栫邯40骞翠唬鍒?0骞翠唬锛岃澶氱爺绌惰€呮帰绱㈢缁忕梾瀛︼紝淇℃伅鐞嗚鍙?ahref="https://zhidao.baidu.com/search?word=鎺у埗璁?highlight="true">鎺у埗璁?/a>涔嬮棿鐨勮仈绯汇€傚叾涓繕閫犲嚭涓€浜涗娇鐢ㄧ數瀛愮綉缁滄瀯閫犵殑鍒濇鏅鸿兘锛屽W.GREYWALTER鐨凾URTLES鍜孞OHNSHOPKINSBEAST銆?/p>
杩欎簺鐮旂┒鑰呰繕缁忓父鍦?ahref="https://zhidao.baidu.com/search?word=鏅灄鏂】澶у"highlight="true">鏅灄鏂】澶у鍜岃嫳鍥界殑RATIOCLUB涓捐鎶€鏈崗浼氫細璁?鐩村埌1960锛?澶ч儴鍒嗕汉宸茬粡鏀惧純杩欎釜鏂规硶锛屽敖绠″湪80骞翠唬鍐嶆鎻愬嚭杩欎簺鍘熺悊銆?/p>
2銆佹櫤鑳芥ā鎷?/strong>
鏈哄櫒瑙嗐€佸惉銆佽Е銆佹劅瑙夊強鎬濈淮鏂瑰紡鐨勬ā鎷燂細鎸囩汗璇嗗埆锛屼汉鑴歌瘑鍒紝瑙嗙綉鑶滆瘑鍒紝铏硅啘璇嗗埆锛屾帉绾硅瘑鍒紝涓撳绯荤粺锛屾櫤鑳芥悳绱紝瀹氱悊璇佹槑锛?ahref="https://zhidao.baidu.com/search?word=閫昏緫鎺ㄧ悊"highlight="true">閫昏緫鎺ㄧ悊锛屽崥寮堬紝淇℃伅鎰熷簲涓庤鲸璇佸鐞嗐€?/p>
瀹炵幇鏂瑰紡锛?/p>
1銆侀噰鐢ㄤ紶缁熺殑缂栫▼鎶€鏈紝浣跨郴缁熷憟鐜版櫤鑳界殑鏁堟灉锛岃€屼笉鑰冭檻鎵€鐢ㄦ柟娉曟槸鍚︿笌浜烘垨鍔ㄧ墿鏈轰綋鎵€鐢ㄧ殑鏂规硶鐩稿悓銆傝繖绉嶆柟娉曞彨宸ョ▼瀛︽柟娉曪紙ENGINEERINGAPPROACH锛夛紝瀹冨凡鍦ㄤ竴浜涢鍩熷唴浣滃嚭浜嗘垚鏋滐紝濡傛枃瀛楄瘑鍒€佺數鑴戜笅妫嬬瓑銆?/p>
2銆佹ā鎷熸硶锛圡ODELINGAPPROACH锛夛紝瀹冧笉浠呰鐪嬫晥鏋滐紝杩樿姹傚疄鐜版柟娉曚篃鍜屼汉绫绘垨鐢熺墿鏈轰綋鎵€鐢ㄧ殑鏂规硶鐩稿悓鎴栫浉绫讳技銆?/p>
閬椾紶绠楁硶锛圙ENERICALGORITHM锛岀畝绉癎A锛夊拰浜哄伐绁炵粡缃戠粶锛圓RTIFICIALNEURALNETWORK锛岀畝绉癆NN锛夊潎灞炲悗涓€绫诲瀷銆?/p>
浠ヤ笂鍐呭鍙傝€冿細鐧惧害鐧剧-浜哄伐鏅鸿兘
首次提出“人工智能”这一术语是在哪一年
1956骞?/strong>
1956骞村瀛ｇ敱涓€鎵圭瀛﹀鍦ㄧ編鍥界殑杈剧壒鑼呮柉澶у涓惧姙浜嗕竴娆＄爺璁ㄤ細锛屼細璁笂鍚屾剰浣跨敤鐢遍害鍗￠敗鎻愬嚭鐨勬柊鏈锛氫汉宸ユ櫤鑳斤紙缂╁啓涓篈I锛夛紝鏍囧織鐫€浜哄伐鏅鸿兘瀛︾鐨勮癁鐢熴€?/p>
人工智能一些术语总结
闅忕潃鏅鸿兘鏃朵唬鎱㈡參鐨勫埌鏉ワ紝鏈変竴浜涘熀鏈蹇甸兘涓嶇煡閬撶湡鐨勬槸瑕佽惤浼嶄簡锛屼綔涓烘鍦ㄧН鏋佸涔犲悜涓婄殑闈掑勾锛屾垜鎯虫€荤粨涓€浠界瑪璁帮紝姝や唤绗旇浼氳褰曚紬澶欰I棰嗗煙鐨勬湳璇拰姒傚康锛屽綋鐒讹紝瀛︿竴閮ㄥ垎璁板綍涓€閮ㄥ垎锛屽苟涓斿彲鑳戒細澶规潅鐫€鑷繁鐨勪竴浜涚悊瑙ｏ紝鐢变簬鑳藉姏鏈夐檺锛屾湁闂甯屾湜澶у澶氬璧愭暀銆傚綋鐒讹紝鐢变簬鍐呭澶锛屼粎浠呭彧鏄褰曚簡涓嫳鍚嶅鐓э紝鏈夌殑鍔犱笂浜嗙畝鍗曠殑瑙ｉ噴锛屾病鍔犵殑鍚庣画澶у鏈夐渶姹傦紝鎴戜細鎱㈡參瀹屽杽~~銆傜洰褰曟殏瀹氫互棣栧瓧姣嶇殑瀛楀吀搴忔帓搴忋€傚彲浠ュ綋浣滅洰褰曟柟渚夸互鍚庢煡闃厏~寤鸿鏀惰棌鍔犵偣璧炲搱鍝堝搱
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A
鍑嗙‘鐜囷紙accuracy锛?
鍒嗙被妯″瀷棰勬祴鍑嗙‘鐨勬瘮渚嬨€?br/>
浜屽垎绫婚棶棰樹腑锛屽噯纭巼瀹氫箟涓猴細accuracy=(truepositives+truenegatives)/allsamples
澶氬垎绫婚棶棰樹腑锛屽噯纭巼瀹氫箟涓猴細accuracy=correctpredictions/allsamples
婵€娲诲嚱鏁帮紙activationfunction锛?
涓€绉嶅嚱鏁帮紝灏嗗墠涓€灞傛墍鏈夌缁忓厓婵€娲诲€肩殑鍔犳潈鍜?杈撳叆鍒颁竴涓潪绾挎€у嚱鏁颁腑锛岀劧鍚庝綔涓轰笅涓€灞傜缁忓厓鐨勮緭鍏ワ紝渚嬪ReLU鎴?Sigmoid
AdaGrad
涓€绉嶅鏉傜殑姊害涓嬮檷绠楁硶锛岄噸鏂拌皟鑺傛瘡涓弬鏁扮殑姊害锛岄珮鏁堝湴缁欐瘡涓弬鏁颁竴涓崟鐙殑瀛︿範鐜囥€?br/>
AUC锛堟洸绾夸笅闈㈢Н锛?
涓€绉嶈€冭檻鍒版墍鏈夊彲鑳界殑鍒嗙被闃堝€肩殑璇勪及鏍囧噯銆俁OC鏇茬嚎涓嬮潰绉唬琛ㄥ垎绫诲櫒闅忔満棰勬祴鐪熸绫伙紙TurePositives锛夎姣斿亣姝ｇ被锛團alsePositives锛夋鐜囧ぇ鐨勭‘淇″害銆?br/>
Adversarialexample锛堝鎶楁牱鏈級
AdversarialNetworks锛堝鎶楃綉缁滐級
ArtificialGeneralIntelligence/AGI锛堥€氱敤浜哄伐鏅鸿兘锛?
Attentionmechanism锛堟敞鎰忓姏鏈哄埗锛?
Autoencoder锛堣嚜缂栫爜鍣級
Automaticsummarization锛堣嚜鍔ㄦ憳瑕侊級
Averagegradient锛堝钩鍧囨搴︼級
Average-Pooling锛堝钩鍧囨睜鍖栵級
B
鍙嶅悜浼犳挱锛圔ackpropagation/BP锛?
绁炵粡缃戠粶涓畬鎴愭搴︿笅闄嶇殑閲嶈绠楁硶銆傞鍏堬紝鍦ㄥ墠鍚戜紶鎾殑杩囩▼涓绠楁瘡涓妭鐐圭殑杈撳嚭鍊笺€傜劧鍚庯紝鍦ㄥ弽鍚戜紶鎾殑杩囩▼涓绠椾笌姣忎釜鍙傛暟瀵瑰簲鐨勮宸殑鍋忓鏁般€?br/>
鍩虹嚎锛圔aseline锛?
琚敤涓哄姣旀ā鍨嬭〃鐜板弬鑰冪殑绠€鍗曟ā鍨嬨€?br/>
鎵归噺锛圔atch锛?
妯″瀷璁粌涓竴涓凯浠ｏ紙鎸囦竴娆℃搴︽洿鏂帮級浣跨敤鐨勬牱鏈泦銆?br/>
鎵归噺澶у皬锛圔atchsize锛?
涓€涓壒閲忎腑鏍锋湰鐨勬暟閲忋€備緥濡傦紝SGD鐨勬壒閲忓ぇ灏忎负1锛岃€?mini-batch鐨勬壒閲忓ぇ灏忛€氬父鍦?10-1000涔嬮棿銆?br/>
鍋忕疆锛圔ias锛?
涓庡師鐐圭殑鎴窛鎴栧亸绉婚噺銆?br/>
浜屽厓鍒嗙被鍣紙Binaryclassification锛?
涓€绫诲垎绫讳换鍔★紝杈撳嚭涓や釜浜掓枼绫诲埆涓殑涓€涓€傛瘮濡傚瀮鍦鹃偖浠舵娴嬨€?br/>
璇嶈锛圔agofwords/Bow锛?
鍩哄涔犲櫒锛圔aselearner锛?
鍩哄涔犵畻娉曪紙Baselearningalgorithm锛?
璐濆彾鏂綉缁滐紙Bayesiannetwork锛?
鍩哄噯锛圔echmark锛?
淇″康缃戠粶锛圔eliefnetwork锛?
浜岄」鍒嗗竷锛圔inomialdistribution锛?
鐜诲皵鍏规浖鏈猴紙Boltzmannmachine锛?
鑷姪閲囨牱娉曪紡鍙噸澶嶉噰鏍凤紡鏈夋斁鍥為噰鏍凤紙Bootstrapsampling锛?
骞挎挱锛圔roadcasting锛?
C
绫诲埆锛圕lass锛?
鎵€鏈夊悓绫诲睘鎬х殑鐩爣鍊间綔涓轰竴涓爣绛俱€?br/>
鍒嗙被妯″瀷锛坈lassification锛?
鏈哄櫒瀛︿範妯″瀷鐨勪竴绉嶏紝灏嗘暟鎹垎绂讳负涓や釜鎴栧涓鏁ｇ被鍒€?br/>
鏀舵暃锛坈onvergence锛?
璁粌杩囩▼杈惧埌鐨勬煇绉嶇姸鎬侊紝鍏朵腑璁粌鎹熷け鍜岄獙璇佹崯澶卞湪缁忚繃浜嗙‘瀹氱殑杩唬娆℃暟鍚庯紝鍦ㄦ瘡涓€娆¤凯浠ｄ腑锛屾敼鍙樺緢灏忔垨瀹屽叏涓嶅彉銆?br/>
鍑稿嚱鏁帮紙concexfunction锛?
涓€绉嶅舰鐘跺ぇ鑷村憟瀛楁瘝 U褰㈡垨纰楀舰鐨勫嚱鏁般€傜劧鑰岋紝鍦ㄩ€€鍖栨儏褰腑锛屽嚫鍑芥暟鐨勫舰鐘跺氨鍍忎竴鏉＄嚎銆?br/>
鎴愭湰锛坈ost锛?
loss鐨勫悓涔夎瘝銆傛繁搴﹀涔犳ā鍨嬩竴鑸兘浼氬畾涔夎嚜宸辩殑loss鍑芥暟銆?br/>
浜ゅ弶鐔碉紙cross-entropy锛?
澶氱被鍒垎绫婚棶棰樹腑瀵?Log鎹熷け鍑芥暟鐨勬帹骞裤€備氦鍙夌喌閲忓寲涓や釜姒傜巼鍒嗗竷涔嬮棿鐨勫尯鍒€?br/>
鏉′欢鐔碉紙Conditionalentropy锛?
鏉′欢闅忔満鍦猴紙Conditionalrandomfield/CRF锛?
缃俊搴︼紙Confidence锛?
鍏辫江鏂瑰悜(Conjugatedirections)
鍏辫江鍒嗗竷(Conjugatedistribution)
鍏辫江姊害(Conjugategradient)
鍗风Н绁炵粡缃戠粶锛圕onvolutionalneuralnetwork/CNN锛?
浣欏鸡鐩镐技搴︼紙Cosinesimilarity锛?
鎴愭湰鍑芥暟锛圕ostFunction锛?
鏇茬嚎鎷熷悎锛圕urve-fitting锛?
D
鏁版嵁闆嗭紙dataset锛?
鏍锋湰鐨勯泦鍚?br/>
娣卞害妯″瀷锛坉eepmodel锛?
涓€绉嶅寘鍚涓殣钘忓眰鐨勭缁忕綉缁溿€傛繁搴︽ā鍨嬩緷璧栦簬鍏跺彲璁粌鐨勯潪绾挎€ф€ц川銆傚拰瀹藉害妯″瀷瀵圭収锛坵idemodel锛夈€?br/>
dropout姝ｅ垯鍖栵紙dropoutregularization锛?
璁粌绁炵粡缃戠粶鏃朵竴绉嶆湁鐢ㄧ殑姝ｅ垯鍖栨柟娉曘€俤ropout姝ｅ垯鍖栫殑杩囩▼鏄湪鍗曟姊害璁＄畻涓垹鍘讳竴灞傜綉缁滀腑闅忔満閫夊彇鐨勫浐瀹氭暟閲忕殑鍗曞厓銆傚垹鍘荤殑鍗曞厓瓒婂锛屾鍒欏寲瓒婂己銆?br/>
鏁版嵁鎸栨帢锛圖atamining锛?
鍐崇瓥鏍?鍒ゅ畾鏍戯紙Decisiontree锛?
娣卞害绁炵粡缃戠粶锛圖eepneuralnetwork/DNN锛?
鐙勫埄鍏嬮浄鍒嗗竷锛圖irichletdistribution锛?
鍒ゅ埆妯″瀷锛圖iscriminativemodel锛?
涓嬮噰鏍凤紙Downsampling锛?
鍔ㄦ€佽鍒掞紙Dynamicprogramming锛?
E
鏃╂湡鍋滄娉曪紙earlystopping锛?
涓€绉嶆鍒欏寲鏂规硶锛屽湪璁粌鎹熷け瀹屾垚涓嬮檷涔嬪墠鍋滄妯″瀷璁粌杩囩▼銆傚綋楠岃瘉鏁版嵁闆嗭紙validationdataset锛夌殑鎹熷け寮€濮嬩笂鍗囩殑鏃跺€欙紝鍗虫硾鍖栬〃鐜板彉宸殑鏃跺€欙紝灏辫浣跨敤鏃╂湡鍋滄娉曚簡銆?br/>
宓屽叆锛坋mbeddings锛?
涓€绫昏〃绀轰负杩炵画鍊肩壒寰佺殑鏄庣‘鐨勭壒寰併€傚祵鍏ラ€氬父鎸囧皢楂樼淮鍚戦噺杞崲鍒颁綆缁寸┖闂翠腑銆?br/>
缁忛獙椋庨櫓鏈€灏忓寲锛坋mpiricalriskminimization锛孍RM锛?
閫夋嫨鑳戒娇寰楄缁冩暟鎹殑鎹熷け鍑芥暟鏈€灏忓寲鐨勬ā鍨嬬殑杩囩▼銆傚拰缁撴瀯椋庨櫓鏈€灏忓寲锛坰tructualriskminimization锛夊鐓с€?br/>
闆嗘垚锛坋nsemble锛?
澶氫釜妯″瀷棰勬祴鐨勭患鍚堣€冭檻銆傚彲浠ラ€氳繃浠ヤ笅涓€绉嶆垨鍑犵鏂规硶鍒涘缓涓€涓泦鎴愭柟娉曪細
璁剧疆涓嶅悓鐨勫垵濮嬪寲锛?br/>
璁剧疆涓嶅悓鐨勮秴鍙傞噺锛?br/>
璁剧疆涓嶅悓鐨勬€讳綋缁撴瀯銆?br/>
娣卞害鍜屽箍搴︽ā鍨嬫槸涓€绉嶉泦鎴愩€?br/>
鏍锋湰锛坋xample锛?
涓€涓暟鎹泦鐨勪竴琛屽唴瀹广€備竴涓牱鏈寘鍚簡涓€涓垨澶氫釜鐗瑰緛锛屼篃鍙兘鏄竴涓爣绛俱€傚弬瑙佹爣娉ㄦ牱鏈紙labeledexample锛夊拰鏃犳爣娉ㄦ牱鏈紙unlabeledexample锛夈€?br/>
F
鍋囪礋绫伙紙falsenegative锛孎N锛?
琚ā鍨嬮敊璇殑棰勬祴涓鸿礋绫荤殑鏍锋湰銆備緥濡傦紝妯″瀷鎺ㄦ柇涓€灏侀偖浠朵负闈炲瀮鍦鹃偖浠讹紙璐熺被锛夛紝浣嗗疄闄呬笂杩欏皝閭欢鏄瀮鍦鹃偖浠躲€?br/>
鍋囨绫伙紙falsepositive锛孎P锛?
琚ā鍨嬮敊璇殑棰勬祴涓烘绫荤殑鏍锋湰銆備緥濡傦紝妯″瀷鎺ㄦ柇涓€灏侀偖浠朵负鍨冨溇閭欢锛堟绫伙級锛屼絾瀹為檯涓婅繖灏侀偖浠舵槸闈炲瀮鍦鹃偖浠躲€?br/>
鍋囨绫荤巼锛坒alsepositiverate锛孎Prate锛?
ROC鏇茬嚎锛圧OCcurve锛変腑鐨?x杞淬€侳P鐜囩殑瀹氫箟鏄細鍋囨鐜?鍋囨绫绘暟/(鍋囨绫绘暟+鐪熻礋绫绘暟)
鐗瑰緛宸ョ▼锛坒eatureengineering锛?
鍦ㄨ缁冩ā鍨嬬殑鏃跺€欙紝鎸栨帢瀵规ā鍨嬫晥鏋滄湁鍒╃殑鐗瑰緛銆?br/>
鍓嶉绁炵粡缃戠粶锛團eedforwardNeuralNetworks/FNN锛?
G
娉涘寲锛坓eneralization锛?
鎸囨ā鍨嬪埄鐢ㄦ柊鐨勬病瑙佽繃鐨勬暟鎹€屼笉鏄敤浜庤缁冪殑鏁版嵁浣滃嚭姝ｇ‘鐨勯娴嬬殑鑳藉姏銆?br/>
骞夸箟绾挎€фā鍨嬶紙generalizedlinearmodel锛?
鏈€灏忎簩涔樺洖褰掓ā鍨嬬殑鎺ㄥ箍/娉涘寲锛屽熀浜庨珮鏂櫔澹帮紝鐩稿浜庡叾瀹冪被鍨嬬殑妯″瀷锛堝熀浜庡叾瀹冪被鍨嬬殑鍣０锛屾瘮濡傛硦鏉惧櫔澹帮紝鎴栫被鍒櫔澹帮級銆傚箍涔夌嚎鎬фā鍨嬬殑渚嬪瓙鍖呮嫭锛?br/>
logistic鍥炲綊
澶氬垎绫诲洖褰?br/>
鏈€灏忎簩涔樺洖褰?br/>
姊害锛坓radient锛?
鎵€鏈夊彉閲忕殑鍋忓鏁扮殑鍚戦噺銆傚湪鏈哄櫒瀛︿範涓紝姊害鏄ā鍨嬪嚱鏁扮殑鍋忓鏁板悜閲忋€傛搴︽寚鍚戞渶闄″抄鐨勪笂鍗囪矾绾裤€?br/>
姊害鎴柇锛坓radientclipping锛?
鍦ㄥ簲鐢ㄦ搴︿箣鍓嶅厛淇グ鏁板€硷紝姊害鎴柇鏈夊姪浜庣‘淇濇暟鍊肩ǔ瀹氭€э紝闃叉姊害鐖嗙偢鍑虹幇銆?br/>
姊害涓嬮檷锛坓radientdescent锛?
閫氳繃璁＄畻妯″瀷鐨勭浉鍏冲弬閲忓拰鎹熷け鍑芥暟鐨勬搴︽渶灏忓寲鎹熷け鍑芥暟锛屽€煎彇鍐充簬璁粌鏁版嵁銆傛搴︿笅闄嶈凯浠ｅ湴璋冩暣鍙傞噺锛岄€愭笎闈犺繎鏉冮噸鍜屽亸缃殑鏈€浣崇粍鍚堬紝浠庤€屾渶灏忓寲鎹熷け鍑芥暟銆?br/>
鍥撅紙graph锛?
鍦?TensorFlow涓殑涓€绉嶈绠楄繃绋嬪睍绀恒€傚浘涓殑鑺傜偣琛ㄧず鎿嶄綔銆傝妭鐐圭殑杩炵嚎鏄湁鎸囧悜鎬х殑锛岃〃绀轰紶閫掍竴涓搷浣滐紙涓€涓紶閲忥級鐨勭粨鏋滐紙浣滀负涓€涓搷浣滄暟锛夌粰鍙︿竴涓搷浣溿€備娇鐢?TensorBoard鑳藉彲瑙嗗寲璁＄畻鍥俱€?br/>
楂樻柉鏍稿嚱鏁帮紙Gaussiankernelfunction锛?
楂樻柉娣峰悎妯″瀷锛圙aussianMixtureModel锛?
楂樻柉杩囩▼锛圙aussianProcess锛?
娉涘寲璇樊锛圙eneralizationerror锛?
鐢熸垚妯″瀷锛圙enerativeModel锛?
閬椾紶绠楁硶锛圙eneticAlgorithm/GA锛?
鍚夊竷鏂噰鏍凤紙Gibbssampling锛?
鍩哄凹鎸囨暟锛圙iniindex锛?
姊害涓嬮檷锛圙radientDescent锛?
H
鍚彂寮忥紙heuristic锛?
涓€涓棶棰樼殑瀹為檯鐨勫拰闈炴渶浼樼殑瑙ｏ紝浣嗚兘浠庡涔犵粡楠屼腑鑾峰緱瓒冲澶氱殑杩涙銆?br/>
闅愯棌灞傦紙hiddenlayer锛?
绁炵粡缃戠粶涓綅浜庤緭鍏ュ眰锛堝嵆鐗瑰緛锛夊拰杈撳嚭灞傦紙鍗抽娴嬶級涔嬮棿鐨勫悎鎴愬眰銆備竴涓缁忕綉缁滃寘鍚竴涓垨澶氫釜闅愯棌灞傘€?br/>
瓒呭弬鏁帮紙hyperparameter锛?
杩炵画璁粌妯″瀷鐨勮繃绋嬩腑鍙互鎷у姩鐨勩€屾棆閽€嶃€備緥濡傦紝鐩稿浜庢ā鍨嬭嚜鍔ㄦ洿鏂扮殑鍙傛暟锛屽涔犵巼锛坙earningrate锛夋槸涓€涓秴鍙傛暟銆傚拰鍙傞噺瀵圭収銆?br/>
纭棿闅旓紙Hard margin锛?
闅愰┈灏斿彲澶ā鍨嬶紙HiddenMarkovModel/HMM锛?
灞傛鑱氱被锛圚ierarchicalclustering锛?
鍋囪妫€楠岋紙Hypothesistest锛?
I
鐙珛鍚屽垎甯冿紙independentlyandidenticallydistributed锛宨.i.d锛?
浠庝笉浼氭敼鍙樼殑鍒嗗竷涓幏鍙栫殑鏁版嵁锛屼笖鑾峰彇鐨勬瘡涓€间笉渚濊禆浜庝箣鍓嶈幏鍙栫殑鍊笺€俰.i.d.鏄満鍣ㄥ涔犵殑鐞嗘兂鎯呭喌鈥斺€斾竴绉嶆湁鐢ㄤ絾鍦ㄧ幇瀹炰笘鐣屼腑鍑犱箮鎵句笉鍒扮殑鏁板鏋勫缓銆?br/>
鎺ㄦ柇锛坕nference锛?
鍦ㄦ満鍣ㄥ涔犱腑锛岄€氬父鎸囧皢璁粌妯″瀷搴旂敤鍒版棤鏍囨敞鏍锋湰鏉ヨ繘琛岄娴嬬殑杩囩▼銆傚湪缁熻瀛︿腑锛屾帹鏂寚鍦ㄨ瀵熷埌鐨勬暟鎹殑鍩虹涓婃嫙鍚堝垎甯冨弬鏁扮殑杩囩▼銆?br/>
杈撳叆灞傦紙inputlayer锛?
绁炵粡缃戠粶鐨勭涓€灞傦紙鎺ユ敹杈撳叆鏁版嵁锛夈€?br/>
璇勫垎鑰呴棿涓€鑷存€э紙inter-rateragreement锛?
鐢ㄦ潵琛￠噺涓€椤逛换鍔′腑浜虹被璇勫垎鑰呮剰瑙佷竴鑷寸殑鎸囨爣銆傚鏋滄剰瑙佷笉涓€鑷达紝鍒欎换鍔¤鏄庡彲鑳介渶瑕佹敼杩涖€傛湁鏃朵篃鍙爣娉ㄨ€呴棿淇″害锛坕nter-annotatoragreement锛夋垨璇勫垎鑰呴棿淇″害锛坕nter-raterreliability锛夈€?br/>
澧為噺瀛︿範锛圛ncrementallearning锛?
鐙珛鎴愬垎鍒嗘瀽锛圛ndependentComponentAnalysis/ICA锛?
鐙珛瀛愮┖闂村垎鏋愶紙Independentsubspaceanalysis锛?
淇℃伅鐔碉紙Informationentropy锛?
淇℃伅澧炵泭锛圛nformationgain锛?
J
JS鏁ｅ害锛圝ensen-ShannonDivergence/JSD锛?
K
Kernel鏀寔鍚戦噺鏈猴紙KernelSupportVectorMachines/KSVM锛?
涓€绉嶅垎绫荤畻娉曪紝鏃ㄥ湪閫氳繃灏嗚緭鍏ユ暟鎹悜閲忔槧灏勫埌鏇撮珮缁村害鐨勭┖闂翠娇姝ｇ被鍜岃礋绫讳箣闂寸殑杈归檯鏈€澶у寲銆備緥濡傦紝鑰冭檻涓€涓緭鍏ユ暟鎹泦鍖呭惈涓€鐧句釜鐗瑰緛鐨勫垎绫婚棶棰樸€備负浜嗕娇姝ｇ被鍜岃礋绫讳箣闂寸殑闂撮殧鏈€澶у寲锛孠SVM浠庡唴閮ㄥ皢鐗瑰緛鏄犲皠鍒扮櫨涓囩淮搴︾殑绌洪棿銆侹SVM浣跨敤鐨勬崯澶卞嚱鏁板彨浣?hinge鎹熷け銆?br/>
鏍告柟娉曪紙Kernelmethod锛?
鏍告妧宸э紙Kerneltrick锛?
k鎶樹氦鍙夐獙璇侊紡k鍊嶄氦鍙夐獙璇侊紙K-foldcrossvalidation锛?
K-鍧囧€艰仛绫伙紙K-MeansClustering锛?
K杩戦偦绠楁硶锛圞-NearestNeighboursAlgorithm/KNN锛?
鐭ヨ瘑鍥捐氨锛圞nowledgegraph锛?
鐭ヨ瘑搴擄紙Knowledgebase锛?
鐭ヨ瘑琛ㄥ緛锛圞nowledgeRepresentation锛?
L
L1鎹熷け鍑芥暟锛圠1loss锛?
鎹熷け鍑芥暟鍩轰簬妯″瀷瀵规爣绛剧殑棰勬祴鍊煎拰鐪熷疄鍊肩殑宸殑缁濆鍊艰€屽畾涔夈€侺1鎹熷け鍑芥暟姣旇捣L2鎹熷け鍑芥暟瀵瑰紓甯稿€肩殑鏁忔劅搴︽洿灏忋€?br/>
L1姝ｅ垯鍖栵紙L1regularization锛?
涓€绉嶆鍒欏寲锛屾寜鐓ф潈閲嶇粷瀵瑰€兼€诲拰鐨勬瘮渚嬭繘琛屾儵缃氥€傚湪渚濊禆绋€鐤忕壒寰佺殑妯″瀷涓紝L1姝ｅ垯鍖栧府鍔╀績浣匡紙鍑犱箮锛変笉鐩稿叧鐨勭壒寰佺殑鏉冮噸瓒嬭繎浜?0锛屼粠鑰屼粠妯″瀷涓Щ闄よ繖浜涚壒寰併€?br/>
L2鎹熷け锛圠2loss锛?
鍙傝骞虫柟鎹熷け銆?br/>
L2姝ｅ垯鍖栵紙L2regularization锛?
涓€绉嶆鍒欏寲锛屾寜鐓ф潈閲嶅钩鏂圭殑鎬诲拰鐨勬瘮渚嬭繘琛屾儵缃氥€侺2姝ｅ垯鍖栧府鍔╀績浣垮紓甯稿€兼潈閲嶆洿鎺ヨ繎 0鑰屼笉瓒嬭繎浜?0銆傦紙鍙笌L1姝ｅ垯鍖栧鐓ч槄璇汇€傦級L2姝ｅ垯鍖栭€氬父鏀瑰杽绾挎€фā鍨嬬殑娉涘寲鏁堟灉銆?br/>
鏍囩锛坙abel锛?
鍦ㄧ洃鐫ｅ紡瀛︿範涓紝鏍锋湰鐨勩€岀瓟妗堛€嶆垨銆岀粨鏋溿€嶃€傛爣娉ㄦ暟鎹泦涓殑姣忎釜鏍锋湰鍖呭惈涓€鎴栧涓壒寰佸拰涓€涓爣绛俱€傚湪鍨冨溇閭欢妫€娴嬫暟鎹泦涓紝鐗瑰緛鍙兘鍖呮嫭涓婚銆佸彂鍑鸿€呬綍閭欢鏈韩锛岃€屾爣绛惧彲鑳芥槸銆屽瀮鍦鹃偖浠躲€嶆垨銆岄潪鍨冨溇閭欢銆嶃€?br/>
鏍囨敞鏍锋湰锛坙abeledexample锛?
鍖呭惈鐗瑰緛鍜屾爣绛剧殑鏍锋湰銆傚湪鐩戠潱寮忚缁冧腑锛屾ā鍨嬩粠鏍囨敞鏍锋湰涓繘琛屽涔犮€?br/>
瀛︿範鐜囷紙learningrate锛?
閫氳繃姊害涓嬮檷璁粌妯″瀷鏃朵娇鐢ㄧ殑涓€涓爣閲忋€傛瘡娆¤凯浠ｄ腑锛屾搴︿笅闄嶇畻娉曚娇瀛︿範鐜囦箻浠ユ搴︼紝涔樼Н鍙綔gradientstep銆傚涔犵巼鏄竴涓噸瑕佺殑瓒呭弬鏁般€?br/>
鏈€灏忎簩涔樺洖褰掞紙leastsquaresregression锛?
閫氳繃L2鎹熷け鏈€灏忓寲杩涜璁粌鐨勭嚎鎬у洖褰掓ā鍨嬨€?br/>
绾挎€у洖褰掞紙linearregression锛?
瀵硅緭鍏ョ壒寰佺殑绾挎€ц繛鎺ヨ緭鍑鸿繛缁€肩殑涓€绉嶅洖褰掓ā鍨嬨€?br/>
logistic鍥炲綊锛坙ogisticregression锛?
灏?sigmoid鍑芥暟搴旂敤浜庣嚎鎬ч娴嬶紝鍦ㄥ垎绫婚棶棰樹腑涓烘瘡涓彲鑳界殑绂绘暎鏍囩鍊肩敓鎴愭鐜囩殑妯″瀷銆傚敖绠?logistic鍥炲綊甯哥敤浜庝簩鍏冨垎绫婚棶棰橈紝浣嗗畠涔熺敤浜庡绫诲埆鍒嗙被闂锛堣繖绉嶆儏鍐典笅锛宭ogistic鍥炲綊鍙綔銆屽绫诲埆logistic鍥炲綊銆嶆垨銆屽椤瑰紡鍥炲綊銆嶃€?br/>
瀵规暟鎹熷け鍑芥暟锛圠ogLoss锛?
浜屽厓logistic鍥炲綊妯″瀷涓娇鐢ㄧ殑鎹熷け鍑芥暟銆?br/>
鎹熷け锛圠oss锛?
搴﹂噺妯″瀷棰勬祴涓庢爣绛捐窛绂荤殑鎸囨爣锛屽畠鏄害閲忎竴涓ā鍨嬫湁澶氱碂绯曠殑鎸囨爣銆備负浜嗙‘瀹氭崯澶卞€硷紝妯″瀷蹇呴』瀹氫箟鎹熷け鍑芥暟銆備緥濡傦紝绾挎€у洖褰掓ā鍨嬮€氬父浣跨敤鍧囨柟宸綔涓烘崯澶卞嚱鏁帮紝鑰?logistic鍥炲綊妯″瀷浣跨敤瀵规暟鎹熷け鍑芥暟銆?br/>
闅愮媱鍒╁厠闆峰垎甯冿紙LatentDirichletAllocation/LDA锛?
娼滃湪璇箟鍒嗘瀽锛圠atentsemanticanalysis锛?
绾挎€у垽鍒紙LinearDiscriminantAnalysis/LDA锛?
闀跨煭鏈熻蹇嗭紙Long-ShortTermMemory/LSTM锛?
M
鏈哄櫒瀛︿範锛坢achinelearning锛?
鍒╃敤杈撳叆鏁版嵁鏋勫缓锛堣缁冿級棰勬祴妯″瀷鐨勯」鐩垨绯荤粺銆傝绯荤粺浣跨敤瀛︿範鐨勬ā鍨嬪涓庤缁冩暟鎹浉鍚屽垎甯冪殑鏂版暟鎹繘琛屾湁鐢ㄧ殑棰勬祴銆傛満鍣ㄥ涔犺繕鎸囦笌杩欎簺椤圭洰鎴栫郴缁熺浉鍏崇殑鐮旂┒棰嗗煙銆?br/>
鍧囨柟璇樊锛圡eanSquaredError/MSE锛?
姣忎釜鏍锋湰鐨勫钩鍧囧钩鏂规崯澶便€侻SE鍙互閫氳繃骞虫柟鎹熷け闄や互鏍锋湰鏁伴噺鏉ヨ绠椼€?br/>
灏忔壒閲忥紙mini-batch锛?
鍦ㄨ缁冩垨鎺ㄦ柇鐨勪竴涓凯浠ｄ腑杩愯鐨勬暣鎵规牱鏈殑涓€涓皬鐨勯殢鏈洪€夋嫨鐨勫瓙闆嗐€傚皬鎵归噺鐨勫ぇ灏忛€氬父鍦?0鍒?1000涔嬮棿銆傚湪灏忔壒閲忔暟鎹笂璁＄畻鎹熷け姣斿湪鍏ㄩ儴璁粌鏁版嵁涓婅绠楁崯澶辫楂樻晥鐨勫銆?br/>
鏈哄櫒缈昏瘧锛圡achinetranslation/MT锛?
椹皵鍙か閾捐挋鐗瑰崱缃楁柟娉曪紙MarkovChainMonteCarlo/MCMC锛?
椹皵鍙か闅忔満鍦猴紙MarkovRandomField锛?
澶氭枃妗ｆ憳瑕侊紙Multi-documentsummarization锛?
澶氬眰鎰熺煡鍣紙MultilayerPerceptron/MLP锛?
澶氬眰鍓嶉绁炵粡缃戠粶锛圡ulti-layerfeedforwardneuralnetworks锛?
N
NaNtrap
璁粌杩囩▼涓紝濡傛灉妯″瀷涓殑涓€涓暟瀛楀彉鎴愪簡 NaN锛屽垯妯″瀷涓殑寰堝鎴栨墍鏈夊叾浠栨暟瀛楁渶缁堥兘鍙樻垚NaN銆侼aN鏄€孨otaNumber銆嶇殑缂╁啓銆?br/>
绁炵粡缃戠粶锛坣euralnetwork锛?
璇ユā鍨嬩粠澶ц剳涓幏鍙栫伒鎰燂紝鐢卞涓眰缁勬垚锛堝叾涓嚦灏戞湁涓€涓槸闅愯棌灞傦級锛屾瘡涓眰鍖呭惈绠€鍗曠殑杩炴帴鍗曞厓鎴栫缁忓厓锛屽叾鍚庢槸闈炵嚎鎬с€?br/>
绁炵粡鍏冿紙neuron锛?
绁炵粡缃戠粶涓殑鑺傜偣锛岄€氬父杈撳叆澶氫釜鍊硷紝鐢熸垚涓€涓緭鍑哄€笺€傜缁忓厓閫氳繃灏嗘縺娲诲嚱鏁帮紙闈炵嚎鎬ц浆鎹級搴旂敤鍒拌緭鍏ュ€肩殑鍔犳潈鍜屾潵璁＄畻杈撳嚭鍊笺€?br/>
褰掍竴鍖栵紙normalization锛?
灏嗗€肩殑瀹為檯鍖洪棿杞寲涓烘爣鍑嗗尯闂寸殑杩囩▼锛屾爣鍑嗗尯闂撮€氬父鏄?1鍒?1鎴?0鍒?1銆備緥濡傦紝鍋囪鏌愪釜鐗瑰緛鐨勮嚜鐒跺尯闂存槸800鍒?6000銆傞€氳繃鍑忔硶鍜屽垎鍓诧紝浣犲彲浠ユ妸閭ｄ簺鍊兼爣鍑嗗寲鍒板尯闂?1鍒?1銆傚弬瑙佺缉鏀俱€?br/>
Numpy
Python涓彁渚涢珮鏁堟暟缁勮繍绠楃殑寮€婧愭暟瀛﹀簱銆俻andas鍩轰簬numpy鏋勫缓銆?br/>
Naivebayes锛堟湸绱犺礉鍙舵柉锛?
NaiveBayesClassifier锛堟湸绱犺礉鍙舵柉鍒嗙被鍣級
Namedentityrecognition锛堝懡鍚嶅疄浣撹瘑鍒級
Naturallanguagegeneration/NLG锛堣嚜鐒惰瑷€鐢熸垚锛?
Naturallanguageprocessing锛堣嚜鐒惰瑷€澶勭悊锛?
Norm锛堣寖鏁帮級
O
鐩爣锛坥bjective锛?
绠楁硶灏濊瘯浼樺寲鐨勭洰鏍囧嚱鏁般€?br/>
one-hot缂栫爜锛堢嫭鐑紪鐮侊級锛坥ne-hotencoding锛?
涓€涓█鐤忓悜閲忥紝鍏朵腑锛氫竴涓厓绱犺缃负 1锛屾墍鏈夊叾浠栫殑鍏冪礌璁剧疆涓?0銆傘€?br/>
涓€瀵瑰锛坥ne-vs.-all锛?
缁欏嚭涓€涓湁 N涓彲鑳借В鍐虫柟妗堢殑鍒嗙被闂锛屼竴瀵瑰瑙ｅ喅鏂规鍖呮嫭N涓嫭绔嬬殑浜屽厓鍒嗙被鍣ㄢ€斺€旀瘡涓彲鑳界殑缁撴灉閮芥湁涓€涓簩鍏冨垎绫诲櫒銆備緥濡傦紝涓€涓ā鍨嬪皢鏍锋湰鍒嗕负鍔ㄧ墿銆佽敩鑿滄垨鐭跨墿锛屽垯涓€瀵瑰鐨勮В鍐虫柟妗堝皢鎻愪緵浠ヤ笅涓夌鐙珛鐨勪簩鍏冨垎绫诲櫒锛?br/>
鍔ㄧ墿鍜岄潪鍔ㄧ墿
钄彍鍜岄潪钄彍
鐭跨墿鍜岄潪鐭跨墿
杩囨嫙鍚堬紙overfitting锛?
鍒涘缓鐨勬ā鍨嬩笌璁粌鏁版嵁闈炲父鍖归厤锛屼互鑷充簬妯″瀷鏃犳硶瀵规柊鏁版嵁杩涜姝ｇ‘鐨勯娴?br/>
Oversampling锛堣繃閲囨牱锛?
P
pandas
涓€绉嶅熀浜庡垪鐨勬暟鎹垎鏋?API銆傚緢澶氭満鍣ㄥ涔犳鏋讹紝鍖呮嫭TensorFlow锛屾敮鎸?pandas鏁版嵁缁撴瀯浣滀负杈撳叆銆傚弬瑙?pandas鏂囨。銆?br/>
鍙傛暟锛坧arameter锛?
鏈哄櫒瀛︿範绯荤粺鑷璁粌鐨勬ā鍨嬬殑鍙橀噺銆備緥濡傦紝鏉冮噸鏄弬鏁帮紝瀹冪殑鍊兼槸鏈哄櫒瀛︿範绯荤粺閫氳繃杩炵画鐨勮缁冭凯浠ｉ€愭笎瀛︿範鍒扮殑銆傛敞鎰忎笌瓒呭弬鏁扮殑鍖哄埆銆?br/>
鎬ц兘锛坧erformance锛?
鍦ㄨ蒋浠跺伐绋嬩腑鐨勪紶缁熷惈涔夛細杞欢杩愯閫熷害鏈夊蹇紡楂樻晥锛?br/>
鍦ㄦ満鍣ㄥ涔犱腑鐨勫惈涔夛細妯″瀷鐨勫噯纭巼濡備綍锛熷嵆锛屾ā鍨嬬殑棰勬祴缁撴灉鏈夊濂斤紵
鍥版儜搴︼紙perplexity锛?
瀵规ā鍨嬪畬鎴愪换鍔＄殑绋嬪害鐨勪竴绉嶅害閲忔寚鏍囥€備緥濡傦紝鍋囪浣犵殑浠诲姟鏄槄璇荤敤鎴峰湪鏅鸿兘鎵嬫満涓婅緭鍏ョ殑鍗曡瘝鐨勫ご鍑犱釜瀛楁瘝锛屽苟鎻愪緵鍙兘鐨勫畬鏁村崟璇嶅垪琛ㄣ€傝浠诲姟鐨勫洶鎯戝害锛坧erplexity锛孭锛夋槸涓轰簡鍒楀嚭鍖呭惈鐢ㄦ埛瀹為檯鎯宠緭鍏ュ崟璇嶇殑鍒楄〃浣犻渶瑕佽繘琛岀殑鐚滄祴鏁伴噺銆?br/>
娴佺▼锛坧ipeline锛?
鏈哄櫒瀛︿範绠楁硶鐨勫熀纭€鏋舵瀯銆傜閬撳寘鎷敹闆嗘暟鎹€佸皢鏁版嵁鏀惧叆璁粌鏁版嵁鏂囦欢涓€佽缁冧竴鎴栧涓ā鍨嬶紝浠ュ強鏈€缁堣緭鍑烘ā鍨嬨€?br/>
Principalcomponentanalysis/PCA锛堜富鎴愬垎鍒嗘瀽锛?
Precision锛堟煡鍑嗙巼锛忓噯纭巼锛?
Priorknowledge锛堝厛楠岀煡璇嗭級
Q
QuasiNewtonmethod锛堟嫙鐗涢】娉曪級
R
鍙洖鐜囷紙recall锛?
鍥炲綊妯″瀷锛坮egressionmodel锛?
涓€绉嶈緭鍑烘寔缁€硷紙閫氬父鏄诞鐐规暟锛夌殑妯″瀷銆傝€屽垎绫绘ā鍨嬭緭鍑虹殑鏄鏁ｅ€笺€?br/>
姝ｅ垯鍖栵紙regularization锛?
瀵规ā鍨嬪鏉傚害鐨勬儵缃氥€傛鍒欏寲甯姪闃叉杩囨嫙鍚堛€傛鍒欏寲鍖呮嫭涓嶅悓绉嶇被锛?br/>
L1姝ｅ垯鍖?br/>
L2姝ｅ垯鍖?br/>
dropout姝ｅ垯鍖?br/>
earlystopping锛堣繖涓嶆槸姝ｅ紡鐨勬鍒欏寲鏂规硶锛屼絾鍙互楂樻晥闄愬埗杩囨嫙鍚堬級
姝ｅ垯鍖栫巼锛坮egularizationrate锛?
涓€绉嶆爣閲忕骇锛岀敤 lambda鏉ヨ〃绀猴紝鎸囨鍒欏嚱鏁扮殑鐩稿閲嶈鎬с€備粠涓嬮潰杩欎釜绠€鍖栫殑鎹熷け鍏紡鍙互鐪嬪嚭姝ｅ垯鍖栫巼鐨勪綔鐢細
minimize(lossfunction+位(regularizationfunction))
鎻愰珮姝ｅ垯鍖栫巼鑳藉闄嶄綆杩囨嫙鍚堬紝浣嗗彲鑳戒細浣挎ā鍨嬪噯纭巼闄嶄綆銆?br/>
琛ㄥ緛锛坮epresention锛?
灏嗘暟鎹槧灏勫埌鏈夌敤鐗瑰緛鐨勮繃绋嬨€?br/>
鍙楄瘯鑰呭伐浣滅壒寰佹洸绾匡紙receiveroperatingcharacteristic/ROCCurve锛?
鍙嶆槧鍦ㄤ笉鍚岀殑鍒嗙被闃堝€间笂锛岀湡姝ｇ被鐜囧拰鍋囨绫荤巼鐨勬瘮鍊肩殑鏇茬嚎銆傚弬瑙?AUC銆?br/>
RecurrentNeuralNetwork锛堝惊鐜缁忕綉缁滐級
Recursiveneuralnetwork锛堥€掑綊绁炵粡缃戠粶锛?
Reinforcementlearning/RL锛堝己鍖栧涔狅級
Re-sampling锛堥噸閲囨牱娉曪級
Representationlearning锛堣〃寰佸涔狅級
RandomForestAlgorithm锛堥殢鏈烘．鏋楃畻娉曪級
S
缂╂斁锛坰caling锛?
鐗瑰緛宸ョ▼涓父鐢ㄧ殑鎿嶄綔锛岀敤浜庢帶鍒剁壒寰佸€煎尯闂达紝浣夸箣涓庢暟鎹泦涓叾浠栫壒寰佺殑鍖洪棿鍖归厤銆備緥濡傦紝鍋囪浣犳兂浣挎暟鎹泦涓墍鏈夌殑娴偣鐗瑰緛鐨勫尯闂翠负 0鍒?1銆傜粰瀹氫竴涓壒寰佸尯闂存槸0鍒?500锛岄偅涔堜綘鍙互閫氳繃灏嗘瘡涓€奸櫎浠?500锛岀缉鏀剧壒寰佸€煎尯闂淬€傝繕鍙弬瑙佹鍒欏寲銆?br/>
scikit-learn
涓€绉嶆祦琛岀殑寮€婧愭満鍣ㄥ涔犲钩鍙般€傜綉鍧€锛?ahref="http://www.scikit-learn.org"target="_blank"rel="nofollownoopener">www.scikit-learn.org銆?br/>
搴忓垪妯″瀷锛坰equencemodel锛?
杈撳叆鍏锋湁搴忓垪渚濊禆鎬х殑妯″瀷銆備緥濡傦紝鏍规嵁涔嬪墠瑙傜湅杩囩殑瑙嗛搴忓垪瀵逛笅涓€涓棰戣繘琛岄娴嬨€?br/>
Sigmoid鍑芥暟锛坰igmoidfunction锛?
softmax
涓哄绫诲埆鍒嗙被妯″瀷涓瘡涓彲鑳界殑绫绘彁渚涙鐜囩殑鍑芥暟銆傛鐜囧姞璧锋潵鐨勬€诲拰鏄?1.0銆備緥濡傦紝softmax鍙兘妫€娴嬪埌鏌愪釜鍥惧儚鏄竴鍙嫍鐨勬鐜囦负 0.9锛屾槸涓€鍙尗鐨勬鐜囦负 0.08锛屾槸涓€鍖归┈鐨勬鐜囦负 0.02銆傦紙涔熷彨浣?fullsoftmax锛夈€?br/>
缁撴瀯椋庨櫓鏈€灏忓寲锛坰tructuralriskminimization/SRM锛?
杩欑绠楁硶骞宠涓や釜鐩爣锛?br/>
鏋勫缓棰勬祴鎬ф渶寮虹殑妯″瀷锛堝鏈€浣庢崯澶憋級銆?br/>
浣挎ā鍨嬪敖閲忎繚鎸佺畝鍗曪紙濡傚己姝ｅ垯鍖栵級銆?br/>
姣斿锛屽湪璁粌闆嗕笂鐨勬崯澶辨渶灏忓寲+姝ｅ垯鍖栫殑妯″瀷鍑芥暟灏辨槸缁撴瀯椋庨櫓鏈€灏忓寲绠楁硶銆傛洿澶氫俊鎭紝鍙傝 http://www.svms.org/srm/銆傚彲涓庣粡楠岄闄╂渶灏忓寲瀵圭収闃呰銆?br/>
鐩戠潱寮忔満鍣ㄥ涔狅紙supervisedmachinelearning锛?
鍒╃敤杈撳叆鏁版嵁鍙婂叾瀵瑰簲鏍囩鏉ヨ缁冩ā鍨嬨€傜洃鐫ｅ紡鏈哄櫒瀛︿範绫讳技瀛︾敓閫氳繃鐮旂┒闂鍜屽搴旂瓟妗堣繘琛屽涔犮€傚湪鎺屾彙闂鍜岀瓟妗堜箣闂寸殑鏄犲皠涔嬪悗锛屽鐢熷氨鍙互鎻愪緵鍚屾牱涓婚鐨勬柊闂鐨勭瓟妗堜簡銆傚彲涓庨潪鐩戠潱鏈哄櫒瀛︿範瀵圭収闃呰銆?br/>
Similaritymeasure锛堢浉浼煎害搴﹂噺锛?
SingularValueDecomposition锛堝寮傚€煎垎瑙ｏ級
Softmargin锛堣蒋闂撮殧锛?
Softmarginmaximization锛堣蒋闂撮殧鏈€澶у寲锛?
SupportVectorMachine/SVM锛堟敮鎸佸悜閲忔満锛?
T
寮犻噺锛坱ensor锛?
TensorFlow椤圭洰鐨勪富瑕佹暟鎹粨鏋勩€傚紶閲忔槸 N缁存暟鎹粨鏋勶紙N鐨勫€煎緢澶э級锛岀粡甯告槸鏍囬噺銆佸悜閲忔垨鐭╅樀銆傚紶閲忓彲浠ュ寘鎷暣鏁般€佹诞鐐规垨瀛楃涓插€笺€?br/>
Transferlearning锛堣縼绉诲涔狅級
U
鏃犳爣绛炬牱鏈紙unlabeledexample锛?
鍖呭惈鐗瑰緛浣嗘病鏈夋爣绛剧殑鏍锋湰銆傛棤鏍囩鏍锋湰鏄帹鏂殑杈撳叆銆傚湪鍗婄洃鐫ｅ涔犲拰鏃犵洃鐫ｅ涔犵殑璁粌杩囩▼涓紝閫氬父浣跨敤鏃犳爣绛炬牱鏈€?br/>
鏃犵洃鐫ｆ満鍣ㄥ涔狅紙unsupervisedmachinelearning锛?
璁粌涓€涓ā鍨嬪鎵炬暟鎹泦锛堥€氬父鏄棤鏍囩鏁版嵁闆嗭級涓殑妯″紡銆傛棤鐩戠潱鏈哄櫒瀛︿範鏈€甯哥敤浜庡皢鏁版嵁鍒嗘垚鍑犵粍绫讳技鐨勬牱鏈€傛棤鐩戠潱鏈哄櫒瀛︿範鐨勫彟涓€涓緥瀛愭槸涓绘垚鍒嗗垎鏋愶紙principalcomponentanalysis锛孭CA锛?br/>
W
Wordembedding锛堣瘝宓屽叆锛?
Wordsensedisambiguation锛堣瘝涔夋秷姝э級
人工智能的基本术语
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