¹þ¹þ(haha)ÌåÓý

ÉêÇëÊÔÓÃ
怬
½¹µãÊÖÒÕ
ÒÔÔ­´´ÊÖÒÕϵͳΪ»ù±¾ £¬£¬ £¬£¬£¬SenseCoreÉÌÌÀAI´ó×°ÖÃΪ½¹µã»ù×ù £¬£¬ £¬£¬£¬½á¹¹¶àÁìÓò¡¢¶àÆ«ÏòÇ°ÑØÑо¿ £¬£¬ £¬£¬£¬
¿ìËÙÂòͨAIÔÚ¸÷¸ö±ÊÖ±³¡¾°ÖеÄÓ¦Óà £¬£¬ £¬£¬£¬ÏòÐÐÒµ¸³ÄÜ¡£¡£¡£¡£¡£ ¡£

IR-Net: ÐÅÏ¢±£´æµÄ¶þÖµÉñ¾­ÍøÂç

2020-05-13

µ¼¶Á£ºÔÚCVPR 2020ÉÏ £¬£¬ £¬£¬£¬ÉÌÌÀÑо¿ÔºÁ´½ÓÓë±àÒë×éºÍ±±¾©º½¿Õº½Ìì´óѧÁõÏéÁúÏÈÉúÍŶÓÌá³öÁËÒ»ÖÖÖ¼ÔÚÓÅ»¯Ç°ºóÏòÈö²¥ÖÐÐÅÏ¢Á÷µÄÊÊÓᢸßЧµÄÍøÂç¶þÖµ»¯ÐÂËã·¨IR-Net¡£¡£¡£¡£¡£ ¡£²î±ðÓÚÒÔÍù¶þÖµÉñ¾­ÍøÂç´ó¶à¹Ø×¢Á¿»¯Îó²î·½Ãæ £¬£¬ £¬£¬£¬±¾ÎÄÊ״δÓͳһÐÅÏ¢µÄ½Ç¶ÈÑо¿Á˶þÖµÍøÂçµÄǰÏòºÍºóÏòÈö²¥Àú³Ì £¬£¬ £¬£¬£¬ÎªÍøÂç¶þÖµ»¯»úÖÆµÄÑо¿ÌṩÁËȫеÄÊӽǡ£¡£¡£¡£¡£ ¡£Í¬Ê± £¬£¬ £¬£¬£¬¸ÃÊÂÇéÊ×´ÎÔÚARM×°±¸ÉϾÙÐÐÁËÏȽø¶þÖµ»¯Ë㷨ЧÂÊÑéÖ¤ £¬£¬ £¬£¬£¬ÏÔʾÁËIR-Net°²ÅÅʱµÄÓÅÒìÐÔÄܺͼ«¸ßµÄÊÊÓÃÐÔ £¬£¬ £¬£¬£¬ÓÐÖúÓÚ½â¾ö¹¤Òµ½ç¹Ø×¢µÄÉñ¾­ÍøÂç¶þÖµ»¯Â䵨µÄ½¹µãÎÊÌâ¡£¡£¡£¡£¡£ ¡£

ÄîÍ·

¶þÖµÉñ¾­ÍøÂçÒòÆä´æ´¢Á¿Ð¡¡¢ÍÆÀíЧÂʸ߶øÊܵ½Éç»áµÄÆÕ±é¹Ø×¢ [1]¡£¡£¡£¡£¡£ ¡£È»¶øÓëÈ«¾«¶ÈµÄ¶ÔÓ¦ÒªÁìÏà±È £¬£¬ £¬£¬£¬ÏÖÓеÄÁ¿»¯ÒªÁìµÄ¾«¶ÈÈÔÈ»±£´æÏÔÖøµÄϽµ¡£¡£¡£¡£¡£ ¡£

¶ÔÉñ¾­ÍøÂçµÄÑо¿Åú×¢ £¬£¬ £¬£¬£¬ÍøÂçµÄ¶àÑùÐÔÊÇÄ£×ÓµÖ´ï¸ßÐÔÄܵÄÒªº¦[2] £¬£¬ £¬£¬£¬¼á³ÖÕâÖÖ¶àÑùÐÔµÄÒªº¦ÊÇ£º(1) ÍøÂçÔÚǰÏòÈö²¥Àú³ÌÖÐÄܹ»Ð¯´ø×ã¹»µÄÐÅÏ¢£»£»£»£»£» £»£»£»(2) ·´ÏòÈö²¥Àú³ÌÖÐ £¬£¬ £¬£¬£¬×¼È·µÄÌݶÈÎªÍøÂçÓÅ»¯ÌṩÁË׼ȷµÄÐÅÏ¢¡£¡£¡£¡£¡£ ¡£¶þÖµÉñ¾­ÍøÂçµÄÐÔÄÜϽµÖ÷ÒªÊÇÓɶþÖµ»¯µÄÓÐÏÞÌåÏÖÄÜÁ¦ºÍÀëÉ¢ÐÔÔì³ÉµÄ £¬£¬ £¬£¬£¬Õâµ¼ÖÂÁËǰÏòºÍ·´ÏòÈö²¥µÄÑÏÖØÐÅÏ¢Ëðʧ £¬£¬ £¬£¬£¬Ä£×ӵĶàÑùÐÔ¼±¾çϽµ¡£¡£¡£¡£¡£ ¡£Í¬Ê± £¬£¬ £¬£¬£¬ÔÚ¶þÖµÉñ¾­ÍøÂçµÄѵÁ·Àú³ÌÖÐ £¬£¬ £¬£¬£¬ÀëÉ¢¶þÖµ»¯ÍùÍùµ¼ÖÂÌݶȽû¾øÈ·ºÍÓÅ»¯Æ«Ïò¹ýʧ¡£¡£¡£¡£¡£ ¡£ÔõÑù½â¾öÒÔÉÏÎÊÌâ £¬£¬ £¬£¬£¬»ñµÃ¸ü¸ß¾«¶ÈµÄ¶þÖµÉñ¾­ÍøÂ磿£¿£¿£¿£¿£¿£¿ÕâÒ»ÎÊÌâ±»Ñо¿ÕßÃÇÆÕ±é¹Ø×¢ £¬£¬ £¬£¬£¬±¾ÎĵÄÄîÍ·ÔÚÓÚ£ºÍ¨¹ýÐÅÏ¢±£´æµÄ˼Ð÷ £¬£¬ £¬£¬£¬Éè¼Æ¸ü¸ßÐÔÄܵĶþÖµÉñ¾­ÍøÂç¡£¡£¡£¡£¡£ ¡£

»ùÓÚÒÔÉÏÄîÍ· £¬£¬ £¬£¬£¬±¾ÎÄÊ״δÓÐÅÏ¢Á÷µÄ½Ç¶ÈÑо¿ÁËÍøÂç¶þÖµ»¯ £¬£¬ £¬£¬£¬Ìá³öÁËÒ»ÖÖеÄÐÅÏ¢¼á³ÖÍøÂ磨IR-Net£©£º(1)ÔÚǰÏòÈö²¥ÖÐÒýÈëÁËÒ»ÖÖ³ÆÎªLibra²ÎÊý¶þÖµ»¯£¨Libra-PB£©µÄƽºâ±ê×¼»¯Á¿»¯ÒªÁì £¬£¬ £¬£¬£¬×î´ó»¯Á¿»¯²ÎÊýµÄÐÅÏ¢ìØºÍ×îС»¯Á¿»¯Îó²î£»£»£»£»£» £»£»£» (2) ÔÚ·´ÏòÈö²¥ÖнÓÄÉÎó²îË¥¼õÔ¤¼ÆÆ÷£¨EDE£©À´ÅÌËãÌÝ¶È £¬£¬ £¬£¬£¬°ü¹ÜѵÁ·×îÏÈʱµÄ³ä·Ö¸üкÍѵÁ·¿¢ÊÂʱµÄ׼ȷÌݶȡ£¡£¡£¡£¡£ ¡£

IR-NetÌṩÁËÒ»¸öȫеĽǶÈÀ´Ã÷È·¶þÖµÉñ¾­ÍøÂçÊÇÔõÑùÔËÐÐµÄ £¬£¬ £¬£¬£¬²¢ÇÒ¾ßÓкܺõÄͨÓÃÐÔ £¬£¬ £¬£¬£¬¿ÉÒÔÔÚ±ê×¼µÄÍøÂçѵÁ·Á÷³ÌÖоÙÐÐÓÅ»¯¡£¡£¡£¡£¡£ ¡£×÷ÕßʹÓÃCIFAR-10ºÍImageNetÊý¾Ý¼¯ÉϵÄͼÏñ·ÖÀàʹÃüÀ´ÆÀ¹ÀÌá³öµÄIR-Net £¬£¬ £¬£¬£¬Í¬Ê±½èÖú¿ªÔ´¶þÖµ»¯ÍÆÀí¿âdaBNN¾ÙÐÐÁ˰²ÅÅЧÂÊÑéÖ¤¡£¡£¡£¡£¡£ ¡£

ÒªÁìÉè¼Æ

¸ß¾«¶È¶þÖµÉñ¾­ÍøÂçѵÁ·µÄÆ¿¾±Ö÷ÒªÔÚÓÚѵÁ·Àú³ÌÖÐÑÏÖØµÄÐÅÏ¢Ëðʧ¡£¡£¡£¡£¡£ ¡£Ç°Ïòsignº¯ÊýºÍºóÏòÌÝ¶ÈÆÈ½üËùÔì³ÉµÄÐÅÏ¢ËðʧÑÏÖØÓ°ÏìÁ˶þÖµÉñ¾­ÍøÂçµÄ¾«¶È¡£¡£¡£¡£¡£ ¡£ÎªÏàʶ¾öÒÔÉÏÎÊÌâ £¬£¬ £¬£¬£¬±¾ÎÄÌá³öÁËÒ»ÖÖеÄÐÅÏ¢¼á³ÖÍøÂ磨IR-Net£©Ä£×Ó £¬£¬ £¬£¬£¬Ëü±£´æÁËѵÁ·Àú³ÌÖеÄÐÅÏ¢ £¬£¬ £¬£¬£¬ÊµÏÖÁ˶þÖµ»¯Ä£×ӵĸ߾«¶È¡£¡£¡£¡£¡£ ¡£

5ec3adbacd6c7.png

ǰÏòÈö²¥ÖеÄLibra Parameter Binarization£¨Libra-PB£©

ÔÚ´Ë֮ǰ £¬£¬ £¬£¬£¬¾ø´ó´ó¶¼ÍøÂç¶þÖµ»¯ÒªÁìÊÔͼ¼õС¶þÖµ»¯²Ù×÷µÄÁ¿»¯Îó²î¡£¡£¡£¡£¡£ ¡£È»¶ø £¬£¬ £¬£¬£¬½öͨ¹ý×îС»¯Á¿»¯Îó²îÀ´»ñµÃÒ»¸öÓÅÒìµÄ¶þÖµÍøÂçÊDz»·óµÄ¡£¡£¡£¡£¡£ ¡£Òò´Ë £¬£¬ £¬£¬£¬Libra-PBÉè¼ÆµÄÒªº¦ÔÚÓÚ£ºÊ¹ÓÃÐÅÏ¢ìØÖ¸±ê £¬£¬ £¬£¬£¬×î´ó»¯¶þÖµÍøÂçǰÏòÈö²¥Àú³ÌÖеÄÐÅÏ¢Á÷¡£¡£¡£¡£¡£ ¡£

ƾ֤ÐÅÏ¢ìØµÄ½ç˵ £¬£¬ £¬£¬£¬ÔÚ¶þÖµÍøÂçÖÐ £¬£¬ £¬£¬£¬¶þÖµ²ÎÊýQx(x)µÄìØ¿ÉÒÔͨ¹ýÒÔϹ«Ê½ÅÌË㣺

5ec3ae08db271.png

ÈôÊÇ´¿´âµØ×·ÇóÁ¿»¯Îó²î×îС»¯ £¬£¬ £¬£¬£¬ÔÚ¼«¶ËÇéÐÎÏ £¬£¬ £¬£¬£¬Á¿»¯²ÎÊýµÄÐÅÏ¢ìØÉõÖÁ¿ÉÒÔ¿¿½üÓÚÁã¡£¡£¡£¡£¡£ ¡£Òò´Ë £¬£¬ £¬£¬£¬Libra-PB½«Á¿»¯ÖµµÄÁ¿»¯Îó²îºÍ¶þÖµ²ÎÊýµÄÐÅÏ¢ìØÍ¬Ê±×÷ΪÓÅ»¯Ä¿µÄ £¬£¬ £¬£¬£¬½ç˵Ϊ:

5ec3ae21aa003.png

ÔÚ²®Å¬ÀûÂþÑܼÙÉèÏ £¬£¬ £¬£¬£¬µ±p=0.5ʱ £¬£¬ £¬£¬£¬Á¿»¯ÖµµÄÐÅÏ¢ìØÈ¡×î´óÖµ¡£¡£¡£¡£¡£ ¡£

Òò´Ë £¬£¬ £¬£¬£¬ÔÚLibra-PBͨ¹ý±ê×¼»¯Çå¾²ºâ²Ù×÷»ñµÃ±ê×¼»¯Æ½ºâÈ¨ÖØ5ec3ae646fed6.jpg £¬£¬ £¬£¬£¬Èçͼ2Ëùʾ £¬£¬ £¬£¬£¬ÔÚBernoulliÂþÑÜÏ £¬£¬ £¬£¬£¬ÓÉLibra-PBÁ¿»¯µÄ²ÎÊý¾ßÓÐ×î´óµÄÐÅÏ¢ìØ¡£¡£¡£¡£¡£ ¡£ÓÐȤµÄÊÇ £¬£¬ £¬£¬£¬¶ÔÈ¨ÖØµÄ¼òÆÓ±ä»»Ò²¿ÉÒÔ¼«´ó¸ÄÉÆÇ°ÏòÀú³ÌÖ줻îµÄÐÅÏ¢Á÷¡£¡£¡£¡£¡£ ¡£ÓÉÓÚ´Ëʱ £¬£¬ £¬£¬£¬¸÷²ãµÄ¶þÖµ¼¤»îÖµÐÅÏ¢ìØÍ¬Ñù¿ÉÒÔ×î´ó»¯ £¬£¬ £¬£¬£¬ÕâÒâζ×ÅÌØÕ÷ͼÖÐÐÅÏ¢¿ÉÒÔ±»±£´æ¡£¡£¡£¡£¡£ ¡£

ÔÚÒÔÍùµÄ¶þÖµ»¯ÒªÁìÖÐ £¬£¬ £¬£¬£¬ÎªÁËʹÁ¿»¯Îó²î¼õС £¬£¬ £¬£¬£¬ÏÕЩËùÓÐÒªÁì¶¼»áÒýÈ븡µã±ê×¼Òò×ÓÀ´´ÓÊýÖµÉÏÆÈ½üԭʼ²ÎÊý £¬£¬ £¬£¬£¬ÕâÎÞÒɽ«¸ß°ºµÄ¸¡µãÔËËãÒýÈëÆäÖС£¡£¡£¡£¡£ ¡£ÔÚLibra-PBÖÐ £¬£¬ £¬£¬£¬ÎªÁ˽øÒ»²½¼õСÁ¿»¯Îó²î £¬£¬ £¬£¬£¬Í¬Ê±×èÖ¹ÒÔÍù¶þÖµ»¯ÒªÁìÖмÛÇ®¸ß°ºµÄ¸¡µãÔËËã £¬£¬ £¬£¬£¬Libra-PBÒýÈëÁËÕûÊýÒÆÎ»±êÁ¿s £¬£¬ £¬£¬£¬À©Õ¹Á˶þÖµÈ¨ÖØµÄÌåÏÖÄÜÁ¦¡£¡£¡£¡£¡£ ¡£

Òò´Ë×îÖÕ £¬£¬ £¬£¬£¬Õë¶ÔÕýÏòÈö²¥µÄLibra²ÎÊý¶þÖµ»¯¿ÉÒÔÌåÏÖÈçÏ£º

5ec3ae86b2fb6.png

IR-NetµÄÖ÷ÒªÔËËã²Ù×÷¿ÉÒÔÌåÏÖΪ£º

5ec3ae972634e.png

5ec3ae9f105d3.png

·´ÏòÈö²¥ÖеÄError Decay Estimator£¨EDE£©

ÓÉÓÚ¶þÖµ»¯µÄ²»Ò»Á¬ÐÔ £¬£¬ £¬£¬£¬ÌݶȵĽüËÆ¹ØÓÚ·´ÏòÈö²¥ÊDz»¿É×èÖ¹µÄ £¬£¬ £¬£¬£¬ÕâÖÖ¶Ôsignº¯ÊýµÄ½üËÆ´øÀ´ÁËÁ½ÖÖÌݶȵÄÐÅÏ¢Ëðʧ £¬£¬ £¬£¬£¬°üÀ¨½Ø¶Ï¹æÄ£Íâ²ÎÊý¸üÐÂÄÜÁ¦Ï½µÔì³ÉµÄÐÅÏ¢Ëðʧ £¬£¬ £¬£¬£¬ºÍ½Ø¶Ï¹æÄ£ÄÚ½üËÆÎó²îÔì³ÉµÄÐÅÏ¢Ëðʧ¡£¡£¡£¡£¡£ ¡£ÎªÁ˸üºÃµÄ±£´æ·´ÏòÈö²¥ÖÐÓÉËðʧº¯Êýµ¼³öµÄÐÅÏ¢ £¬£¬ £¬£¬£¬Æ½ºâ¸÷ѵÁ·½×¶Î¹ØÓÚÌݶȵÄÒªÇó £¬£¬ £¬£¬£¬EDEÒýÈëÁËÒ»ÖÖ½¥½øµÄÁ½½×¶Î½üËÆÌݶÈÒªÁì¡£¡£¡£¡£¡£ ¡£

µÚÒ»½×¶Î£º±£´æ·´ÏòÈö²¥Ëã·¨µÄ¸üÐÂÄÜÁ¦¡£¡£¡£¡£¡£ ¡£½«ÌݶÈÔ¤¼Æº¯ÊýµÄµ¼ÊýÖµ¼á³ÖÔÚ¿¿½ü1µÄˮƽ £¬£¬ £¬£¬£¬È»ºóÖð²½½«½Ø¶ÏÖµ´ÓÒ»¸ö´óµÄÊý×Ö½µµ½1¡£¡£¡£¡£¡£ ¡£Ê¹ÓÃÕâÒ»¹æÔò £¬£¬ £¬£¬£¬½üËÆº¯Êý´Ó¿¿½üIdentityº¯ÊýÑÝ»¯µ½Clipº¯Êý £¬£¬ £¬£¬£¬´Ó¶ø°ü¹ÜÁËѵÁ·ÔçÆÚµÄ¸üÐÂÄÜÁ¦¡£¡£¡£¡£¡£ ¡£

µÚ¶þ½×¶Î£ºÊ¹0ÖÜΧµÄ²ÎÊý±»¸ü׼ȷµØ¸üС£¡£¡£¡£¡£ ¡£½«½Ø¶Ï¼á³ÖΪ1 £¬£¬ £¬£¬£¬²¢Öð½¥½«µ¼ÊýÇúÏßÑݱ䵽õè¾¶º¯ÊýµÄÐÎ×´¡£¡£¡£¡£¡£ ¡£Ê¹ÓÃÕâÒ»¹æÔò £¬£¬ £¬£¬£¬½üËÆº¯Êý´ÓClipº¯ÊýÑݱ䵽signº¯Êý £¬£¬ £¬£¬£¬´Ó¶ø°ü¹ÜÁËǰÏòºÍ·´ÏòÈö²¥µÄÒ»ÖÂÐÔ¡£¡£¡£¡£¡£ ¡£

¸÷½×¶ÎEDEµÄÐÎ״ת±äÈçͼ3(c)Ëùʾ¡£¡£¡£¡£¡£ ¡£Í¨¹ý¸ÃÉè¼Æ £¬£¬ £¬£¬£¬EDE¼õСÁËǰÏò¶þÖµ»¯º¯ÊýºÍºóÏò½üËÆº¯ÊýÖ®¼äµÄ²î±ð £¬£¬ £¬£¬£¬Í¬Ê±ËùÓвÎÊý¶¼ÄÜ»ñµÃºÏÀíµÄ¸üС£¡£¡£¡£¡£ ¡£

5ec3aeeced3b6.png

ʵÑéЧ¹û

×÷ÕßʹÓÃÁËÁ½¸ö»ù×¼Êý¾Ý¼¯£ºCIFAR-10ºÍImageNet£¨ILSVRC12£©¾ÙÐÐÁËʵÑé¡£¡£¡£¡£¡£ ¡£ÔÚÁ½¸öÊý¾Ý¼¯ÉϵÄʵÑéЧ¹ûÅú×¢ £¬£¬ £¬£¬£¬IR-Net±ÈÏÖÓеÄ×îÏȽøÒªÁì¸ü¾ß¾ºÕùÁ¦¡£¡£¡£¡£¡£ ¡£

5ec3af02add16.png

5ec3af0f5575f.png

Deployment Efficiency

ΪÁ˽øÒ»²½ÑéÖ¤IR-NetÔÚÏÖÊµÒÆ¶¯×°±¸ÖеݲÅÅЧÂÊ £¬£¬ £¬£¬£¬×÷ÕßÔÚ1.2GHz 64λËĺËARM Cortex-A53µÄRaspberry Pi 3BÉϽøÒ»²½ÊµÏÖÁËIR-Net £¬£¬ £¬£¬£¬²¢ÔÚÏÖʵӦÓÃÖвâÊÔÁËÆäÕæÊµËÙÂÊ¡£¡£¡£¡£¡£ ¡£±í5ÏÔʾ £¬£¬ £¬£¬£¬IR-NetµÄÍÆÀíËÙÂÊÒª¿ìµÃ¶à £¬£¬ £¬£¬£¬Ä£×ӳߴçÒ²´ó´ó¼õС £¬£¬ £¬£¬£¬²¢ÇÒIR-NetÖеÄÎ»ÒÆ²Ù×÷ÏÕЩ²»»á´øÀ´ÌØÁíÍâÍÆÀíʱ¼äºÍ´æ´¢ÏûºÄ¡£¡£¡£¡£¡£ ¡£

5ec3af479f6da.png

´«ËÍÃÅ

IR-Net´úÂëÏÖÔÚÒѾ­¿ªÔ´ £¬£¬ £¬£¬£¬½Ó´ýÁÐλͬÑâʹÓúͽ»Á÷¡£¡£¡£¡£¡£ ¡£

ÂÛÎĵص㣺https://arxiv.org/abs/1909.10788

ÏîÄ¿µØµã£ºhttps://github.com/htqin/IR-Net

ÂÛÎĽâ˵£º½üÆÚ½«ÓÐÏßÉÏÖ±²¥µÄÂÛÎĽâ˵¼°×¨Ìâ½»Á÷¿Î³Ì £¬£¬ £¬£¬£¬½Ó´ýµã»÷Ï·½¡°ÉÌÌÀ̩̹¹ûÕæ¿Î¡±¿Î³ÌרÌâÁ´½Ó¾ÙÐб¨Ãû

±¨ÃûÁ´½Ó£ºhttps://jinshuju.net/f/RKOLf9

 

ÕÐÆ¸

ÉÌÌÀÑо¿Ôº-Á´½ÓÓë±àÒëÍŶÓÖÂÁ¦ÓÚͨ¹ýSystem+AIÊÖÒÕ´òÔì¶¥¼âµÄÉî¶Èѧϰ½¹µãÒýÇæ¡£¡£¡£¡£¡£ ¡£¿£¿£¿£¿£¿£¿£¿ª·¢µÄÄ£×ÓѵÁ·ºÍÄ£×Ó°²Åʤ¾ßÁ´ÒÑЧÀÍÓÚ¹«Ë¾¶à¸ö½¹µãÓªÒµ¡£¡£¡£¡£¡£ ¡£ÍŶÓÔÚÁ¿»¯Ä£×ÓµÄÔÚÏß/ÀëÏßÉú²ú¡¢°²ÅÅ¶ÔÆë¡¢¼ÓËÙѵÁ·µÈÆ«ÏòÓÐ×ÅÃ÷È·µÄÊÖÒÕÍýÏë¡£¡£¡£¡£¡£ ¡£

ÍŶÓÏÖÔÚÕýÔÚÕÐÆ¸Ä£×ÓÁ¿»¯Æ«ÏòµÄϵͳËã·¨Ñо¿Ô±/ʵϰÉú £¬£¬ £¬£¬£¬½Ó´ý¸ÐÐËȤµÄСͬ°éͶµÝ¼òÀúµ½yufengwei@sensetime.com¡£¡£¡£¡£¡£ ¡£

Reference

[1] Rastegari M, Ordonez V, Redmon J, et al. Xnor-net: Imagenet classification using binary convolutional neural networks[C]//ECCV. Springer, Cham, 2016: 525-542.

[2] Xie B, Liang Y, Song L. Diverse neural network learns true target functions[J]. arXiv preprint arXiv:1611.03131, 2016.



²úÆ·ÊÔÓÃ
Ìîд´Ë¼òÆÓ±í¸ñ £¬£¬ £¬£¬£¬ÎÒÃǽ«¾¡¿ìÁªÏµÄú£¡
ÉÌÎñÏàÖú
400 900 5986
ÖÜÒ»ÖÁÖÜÎå 9:00-12:00 £¬£¬ £¬£¬£¬13:00-18:00
ÏàÖúͬ°éÕÐļ
¡¾ÍøÕ¾µØÍ¼¡¿¡¾sitemap¡¿