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AlphaGo系统事实上需要两个额外落子选择器的大脑。一个是“强化学习的策略网络(Policy Network)”,通过百万级额外的模拟局来完成。你可以称之为更强的。比起基本的训练,只是教网络去模仿单一人类的落子,高级的训练会与每一个模拟棋局下到底,教网络最可能赢的下一手。Sliver团队通过更强的落子选择器总结了百万级训练棋局,比他们之前版本又迭代了不少。 【“】【销】【量】【为】【王】【”】【成】【为】【2】【0】【1】【5】【年】【的】【关】【键】【词】【,】【然】【而】【低】【价】【是】【一】【把】【双】【刃】【剑】【,】【在】【冲】【击】【巨】【大】【销】【量】【的】【时】【候】【会】【带】【来】【两】【个】【负】【面】【影】【响】【。】【第】【一】【个】【是】【利】【润】【的】【下】【降】【;】【第】【二】【个】【是】【品】【质】【下】【降】【所】【导】【致】【的】【口】【碑】【、】【品】【牌】【受】【损】【。】 【去】【年】【十】【一】【月】【份】【,】【有】【传】【闻】【称】【苹】【果】【或】【将】【在】【i】【P】【h】【o】【n】【e】【上】【转】【用】【O】【L】【E】【D】【屏】【幕】【,】【并】【预】【计】【这】【一】【时】【间】【节】【点】【是】【2】【0】【1】【8】【年】【。】【同】【时】【称】【L】【C】【D】【面】【板】【制】【造】【商】【L】【G】【和】【三】【星】【将】【负】【责】【最】【初】【的】【订】【单】【。】【随】【后】【一】【些】【迹】【象】【似】【乎】【证】【实】【了】【该】【传】【闻】【。】【譬】【如】【L】【G】【在】【投】【入】【巨】【资】【扩】【大】【其】【O】【L】【E】【D】【生】【产】【线】【。】 根据谷歌描述,AlphaGo的“智能”主要体现在两套“神经网络”(即算法)的相互作用下。与象棋不同,围棋的可能性走法大约为10的768次方(尽管很多是不合常理的走法),因此用穷举法来推演全部可能,然后再选择最佳……显然是不现实的。于是,AlphaGo的第一个“神经”就是对常见的、合理的走法进行初步筛选,以大幅降低选择范围。之后,另一个“神经”就会对筛选后的可能进行树状搜索,但是搜索过程中会对黑棋和白旗的优劣势影响进行价值判断,以减少搜索的深度。 转向产地采购,拼好货能获得结构性优势:第一是水果品质更好,自然熟,不需要提前一个月摘下来放在冷库里;第二,采购成本更低。黄峥说:“三聚氰胺的问题在于农户不加三聚氰胺就没好处,商业逻辑是不鼓励优质的。我要让上游真正好转起来,必须让自然熟的水果卖出更高价,在商业逻辑上走向正循环。”Read More
Published on Oct-5-2019 01:15:17 PM

live statistics

started:

Sep 1, 2017

total accounts:

38755

total deposits:

$ 175859778

total withdrawals:

$ 95005684.66

Running days:

767

visitors online:

3095

last deposits:

$ 299.70 (money)

last withdrawals:

$ 166,500.00 (Afyjud)

last 10 deposits
  • money
  • $299.70
  • imth2534
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  • kaizen
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  • hyipnews
  • $100.00
  • luhvieira
  • $20.00
  • rovshan712015
  • $94.29
  • xavieR1972
  • $8797.25
  • blackishideung
  • $20.00
  • angelitat
  • $950.55
last 10 withdrawals
  • Afyjud
  • $166500.00
  • sunkiev2013
  • $20.60
  • SiqueiraBR
  • $201.50
  • Lime
  • $10.00
  • moijeux
  • $25.20
  • hyipcruiser
  • $3.00
  • windyclover
  • $20.60
  • hyiper_net
  • $25.00
  • Lime
  • $10.00
  • MYINVESTBLOGER
  • $3.00
 

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