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來源:網絡 更新日期:2021-02-04 22:46 點擊:2887

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原標題:與斷崖式落馬的部級官員串供、一案雙查的女書記落判(法制晚報記者李洪鵬)1月17日上午,四川省高級人民法院院長王海萍在省政協十一屆五次會議上作省法院工作通報時稱,2016年,四川省法院依法審判李佳、何華章等一批重大貪賄犯罪案件。通報稱,四川省資陽市委原書記李佳受賄案,內江中院于2016年11月8日一審宣判,認定李佳犯受賄罪,判處有期徒刑十四年,并處罰金人民幣200萬元。宣判后,李佳當庭表示認罪服判。被四川高院院長通報李佳是何許人也,她又有哪些“故事”?觀海解局(微信ID:guanhaijieju)記者給您揭秘。女干部火箭躥升兩年“三級跳”記者梳理公開簡歷發現,生于1966年的李佳,為四川省仁壽縣人。1984年至1987年她就讀樂山師范專科學校(后合并改名為樂山師范學院)外語系英語專業。畢業后,李佳在當時的樂山財貿學校(后合并改名為樂山職業技術學院)任教,后兼任校團委書記。1991年3月,李佳調至共青團樂山市委工作;6個月后,迅速調至共青團四川省委,任研究室副主任干事。李佳1992年10月,李佳進入四川省委組織部工作,開始了她“組工干部”的生涯。在組織部里她歷任副主任科員、主任科員、人事處處長、干部一處處長等多種職務。2004年4月,晉升為部務中國免簽國家

ZHAIYAO 【MEIGUOTIAOQIDUIHUAMAOYIZHAN LIANGGUOSHANGJIEXUEZHEKANFAZHESHERENXINSUOXIANG】2018NIANYILAI,MEIGUOZHENGFUDUIHUAMAOYIBAOHUZHUYICUOSHIBUDUANSHENGJI,YINFAGEJIERENSHIDUI“MAOYIZHAN”DEDANYOU。ZHONGMEILIANGGUOSHANGJIERENSHIHEXUEZHEPUBIANRENWEI,ZHONGGUOSHOUZHONGYOUBUSHAO“DIPAI”,YINGDUIMAOYIZHANDIQISHIZU。TELANGPUZHENGFUCIJUJIANGDUIMEIGUOJINGJICHANSHENGFUMIANYINGXIANG,YINGGAITINGTINGSHICHANGDESHENGYIN,LIANGGUOZHIYOUKAIFANGHEZUOCAINENGBA“DANGAO”ZUODEGENGDA。(ZHONGGUOXINWENWANG)   2018NIANYILAI,MEIGUOZHENGFUDUIHUAMAOYIBAOHUZHUYICUOSHIBUDUANSHENGJI,YINFAGEJIERENSHIDUI“MAOYIZHAN”DEDANYOU。ZHONGMEILIANGGUOSHANGJIERENSHIHEXUEZHEPUBIANRENWEI,ZHONGGUOSHOUZHONGYOUBUSHAO“DIPAI”,YINGDUIMAOYIZHANDIQISHIZU。TELANGPUZHENGFUCIJUJIANGDUIMEIGUOJINGJICHANSHENGFUMIANYINGXIANG,YINGGAITINGTINGSHICHANGDESHENGYIN,LIANGGUOZHIYOUKAIFANGHEZUOCAINENGBA“DANGAO”ZUODEGENGDA。  GDPSHIJIYINGXIANGHENXIAO。   (YUANBIAOTI:MEIGUOTIAOQIDUIHUAMAOYIZHAN LIANGGUOSHANGJIEXUEZHEKANFAZHESHERENXINSUOXIANG) (ZERENBIANJI:DF155) ZHONGGUOMIANQIANGUOJIA

ZHAIYAO 【ZHONGGUOFAZHANGAOCENGLUNTAN:“YIDAIYILU”JIANSHEJIYUSHUYUQUANSHIJIE】“YIDAIYILU”CHANGYIZAIQUANQIUDEREDUBUDUANSHENGWEN。24RIZAIBEIJINGJUXINGDEZHONGGUOFAZHANGAOCENGLUNTANSHANG,LAIZIQUANQIUDEZHENGJIE、SHANGJIERENSHIRENWEI,“YIDAIYILU”JIANSHEDAILAIDEJIYUSHUYUQUANSHIJIE。LUNTANSHANG,XIANGGANGTIELUYOUXIANGONGSIZHUXIMASHIHENGBIAOSHI,“YIDAIYILU”CHANGYIJITUIJINLEZHONGGUONEIDIDEDUIWAIKAIFANG,YEWEISHIJIEGEGUOHEDIQUZHIJIANDEHEZUOTIGONGLEXINPINGTAI,WEIQUANQIUFAZHANTIGONGXINDONGNENG。(ZHONGGUOXINWENWANG)   “YIDAIYILU”CHANGYIZAIQUANQIUDEREDUBUDUANSHENGWEN。24RIZAIBEIJINGJUXINGDEZHONGGUOFAZHANGAOCENGLUNTANSHANG,LAIZIQUANQIUDEZHENGJIE、SHANGJIERENSHIRENWEI,“YIDAIYILU”JIANSHEDAILAIDEJIYUSHUYUQUANSHIJIE。  LUNTANSHANG,XIANGGANGTIELUYOUXIANGONGSIZHUXIMASHIHENGBIAOSHI,“YIDAIYILU”CHANGYIJITUIJINLEZHONGGUONEIDIDEDUIWAIKAIFANG,YEWEISHIJIEGEGUOHEDIQUZHIJIANDEHEZUOTIGONGLEXINPINGTAI,WEIQUANQIUFAZHANTIGONGXINDONGNENG。  XIANGGANGMAOFAJUZHUXILUOKANGRUIZHICHU,“YIDAIYILU”JIANSHEGUOCHENGZHONG,XIANGGANGKEYIBANYANZHONGYAOJIAOSE。XIANGGANGKEYICHENGWEICHOUJIZIJIN、ZIYUANDEPINGTAI,CUJINDUI“YIDAIYILU”YANXIANGUOJIAHEDIQUDESHANGYETOUZI。ZHULI“YIDAIYILU”JIANSHEDETONGSHI,XIANGGANGKEYIGENGHAODIRONGRUGUOJIADEFAZHAN。ZAIGUOJIABUTONGDEFAZHANJIEDUAN,XIANGGANGBANYANDEJIAOSEBUTONG,ZHONGGUOMIANQIANGUOJIA

原標題:何愷明團隊最新力作:群組歸一化(Group Normalization) 雷鋒網AI科技評論按:近日,FAIR 研究工程師吳育昕和研究科學家何愷明聯名著作的一篇論文 Group Normalization 提到了一種新的訓練神經網絡的方法。該方法稱為群組歸一化(Group Normalization),試圖以群組方式實現快速訓練神經網絡,這種方法對于硬件的需求大大降低,并在實驗中超過了傳統的批量歸一化方法。 批量歸一化和群組歸一化 批量歸一化(Batch Normalization,以下簡稱 BN)是深度學習發展中的一項里程碑式技術,可讓各種網絡并行訓練。但是,批量維度進行歸一化會帶來一些問題——批量統計估算不準確導致批量變小時,BN 的誤差會迅速增加。在訓練大型網絡和將特征轉移到計算機視覺任務中(包括檢測、分割和視頻),內存消耗限制了只能使用小批量的BN。在這篇論文中,作者巧妙提出了群組歸一化 Group Normalization (簡稱 GN) 作為 BN 的替代方案。 GN 將通道分成組,并在每組內計算歸一化的均值和方差。GN 的計算與批量大小無關,并且其準確度在各種批量大小下都很穩定。在 ImageNet 上訓練的 ResNet-50 上,GN 使用批量大小為 2 時的錯誤率比 BN 的錯誤中國免簽國家

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