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搶便宜趁這一檔!!!!平板比較2017!【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)現在居然打折了!!!之前觀望好久的【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)這次買好划算
以前都花爸媽的錢這一次終於可以自己買電腦 ，自己出錢比較沒負擔，硬生生讓我等到折扣真的太好了
分期付款或是一次付清都有不同的優惠，我覺得真的是佛心來的~
以前爬文文章都說【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)滿不錯的，可以購買，看了很多規格確實不錯 我也觀望好久
好險還懂得一些不然現在電腦實在太多了都不知道要怎麼挑
現在就來說說 購買【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)的心路歷程
一開始沒打算在網路上購買的【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)我試過實體以後決定在網路上購買價格 比較便宜而且會送到家裡來
也是因為是在網路上販售並沒有在實體店面沒有那些人事費用價格就可以直接回饋價格給網民
而且這次申請帳號我還有拿到折價券(例如滿萬送千，所以我買兩萬多的電腦基本上就折兩千)
當然在購物商城買的話，除了有詳細的介紹以外，更有保障！！而且速度也很快~
↓↓↓限量折扣的優惠按鈕↓↓↓
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另外在推薦我平時會使用的平台可以比較價格找便宜~~
AlphaGo's Historic Win Predicted by Liulishuo Scientists
SHANGHAI,May 31, 2017/PRNewswire/ -- OnMay 23rdthe first game of a three-part Go series between Google s AI AlphaGo and the world s number one Go playerKe Jietook place at the opening event of the Future of Go summit in Wuzhen,China. AlphaGo defeatedKe Jieby just half a point after four hours and fifteen minutes of play, taking a 1-0 lead in the series. Two former Google scientists predicted AlphaGo s win to the press long before the game started. As Dr.Hui Lin, now co-founder and Chief Scientist of Liulishuo and Dr.Yi Sun, its Chief Algorithm Engineer watched the game unfold, the two scientists declared "the result was expected".
Some experts predictedKe Jiehad a better chance to win than Lee Sedol, the last human Go player to officially test the AI as he came better prepared for Google s DeepMind Go-playing machine AlphaGo. Dr.Hui Linhad a different outlook, however. "The machine has a huge advantage in calculating and processing sophisticated situations. Moreover, when heading to the later stages of the game, a human can never control their emotion like a machine does."
"Looking back on AlphaGo1.0, AlphaGo2.0 offers a more significant mastering of artificial intelligence over board games, withitsunattainable amount of training," Dr.Hui Linsaid. "At this point, AI s intelligence basically relies on its gigantic database. AlphaGo s input includes every manual and game record anyone could think of, so it s safe to say that it knows its opponents well enough. AI has many widely accepted qualities like ultra-speed calculation, but its advantage over conventional training can only be revealed when it is upgraded."
Dr. Lin also explained from a technical perspective whyKe Jiedescribed AlphaGo s moves as "mysterious" during warm-up stages,"AlphaGo won because it was unpredictable. Technically, we can t say that AlphaGo is the best Go student ever taught by human beings, because it could never be restricted by any human rules. Incorporating lessons from AlphaGo1.0, AlphaGo2.0 was able to learn from all manuals and records in existence. AI never stops playing by itself, as it never eats or sleeps, and eventually it develops its own strategy, regardless of human restrictions."
A graduate from the world s leading Swiss AI Lab IDSIA and instructed by the "father of artificial intelligence" Jurgen Schmidhuber, Dr.Yi Sunhas always paid close attention to DeepMind co-founderShane Legg sAI projects, who also happens to be an IDSIA alumnus. After today s game,he praised the technical improvements of this AlphaGo version in Wuzhen, compared to how the project performed back when it was still in development under the pseudonym "Master".
Dr. Yi Sun at the Future of Go Summit in Wuzhen
Dr.Yi Sunconsidered reinforcement learning technology as AlphaGo2.0 s main highlight. As this technology was one of his research areas at PhD level, Dr. Sun explained the purpose of this concept from the inside out,"Toaccomplish a sophisticated goal through the interaction of an AI and unknown environments, which in this case means to make judgments on a given Go game situation. Reinforcement learning allows the AI to study every middle-game as a "value function" and every move as a "q function" from an ocean of game records. AlphaGo built a new model in this environment, based on AlphaGo1.0 s interaction history. This model would go on to learn the best outcomes of each situation through numerous mistakes, and learn to make plans in the face of uncertainty. As a result, its anticipation and positioning skills also improved to the next level."
Reinforcement learning now shows strong potential in practical applications also. Liulishuo s AI English Teacher was self-developed based on reinforcement learning algorithms similar to those described by Dr.Yi Sun. Along with the supervision of its two specialists, Liulishuo s AI builds an adaptive learning system through continuous reinforcement learning and self-evolution. The result is a truly personalized and adaptive learning path for every user, providing better learning efficiency.
OnMay 24thboth AlphaGo andKe Jiewill take one day off, and AI specialists from DeepMind and Google will discuss the future of AI as part of the Future of Go Summit being held in Wuzhen,China.Yi Wang, the CEO and co-founder of Liulishuo will also share his ideas of applying AI to education during the summit. As forKe Jie, he still has the chance to defeat the upgraded AlphaGo during the two remaining games onMay 25thand 27th.
欲知更多股市機會，速速關註微信號：股市機會情報（thsjihui）
美聯儲12月議息會議 加息25個基點
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以前都花爸媽的錢這一次終於可以自己買電腦 ，自己出錢比較沒負擔，硬生生讓我等到折扣真的太好了
分期付款或是一次付清都有不同的優惠，我覺得真的是佛心來的~
以前爬文文章都說【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)滿不錯的，可以購買，看了很多規格確實不錯 我也觀望好久
好險還懂得一些不然現在電腦實在太多了都不知道要怎麼挑
現在就來說說 購買【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)的心路歷程
一開始沒打算在網路上購買的【微星B250平台】i5四核{機甲聖翼}GTX1050獨顯電玩機(i5-7400-8G-1TB-1050-2G)我試過實體以後決定在網路上購買價格 比較便宜而且會送到家裡來
也是因為是在網路上販售並沒有在實體店面沒有那些人事費用價格就可以直接回饋價格給網民
而且這次申請帳號我還有拿到折價券(例如滿萬送千，所以我買兩萬多的電腦基本上就折兩千)
當然在購物商城買的話，除了有詳細的介紹以外，更有保障！！而且速度也很快~
↓↓↓限量折扣的優惠按鈕↓↓↓
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↓↓↓現在馬上點擊購買↓↓↓
另外在推薦我平時會使用的平台可以比較價格找便宜~~
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AlphaGo's Historic Win Predicted by Liulishuo Scientists
SHANGHAI,May 31, 2017/PRNewswire/ -- OnMay 23rdthe first game of a three-part Go series between Google s AI AlphaGo and the world s number one Go playerKe Jietook place at the opening event of the Future of Go summit in Wuzhen,China. AlphaGo defeatedKe Jieby just half a point after four hours and fifteen minutes of play, taking a 1-0 lead in the series. Two former Google scientists predicted AlphaGo s win to the press long before the game started. As Dr.Hui Lin, now co-founder and Chief Scientist of Liulishuo and Dr.Yi Sun, its Chief Algorithm Engineer watched the game unfold, the two scientists declared "the result was expected".
Some experts predictedKe Jiehad a better chance to win than Lee Sedol, the last human Go player to officially test the AI as he came better prepared for Google s DeepMind Go-playing machine AlphaGo. Dr.Hui Linhad a different outlook, however. "The machine has a huge advantage in calculating and processing sophisticated situations. Moreover, when heading to the later stages of the game, a human can never control their emotion like a machine does."
"Looking back on AlphaGo1.0, AlphaGo2.0 offers a more significant mastering of artificial intelligence over board games, withitsunattainable amount of training," Dr.Hui Linsaid. "At this point, AI s intelligence basically relies on its gigantic database. AlphaGo s input includes every manual and game record anyone could think of, so it s safe to say that it knows its opponents well enough. AI has many widely accepted qualities like ultra-speed calculation, but its advantage over conventional training can only be revealed when it is upgraded."
Dr. Lin also explained from a technical perspective whyKe Jiedescribed AlphaGo s moves as "mysterious" during warm-up stages,"AlphaGo won because it was unpredictable. Technically, we can t say that AlphaGo is the best Go student ever taught by human beings, because it could never be restricted by any human rules. Incorporating lessons from AlphaGo1.0, AlphaGo2.0 was able to learn from all manuals and records in existence. AI never stops playing by itself, as it never eats or sleeps, and eventually it develops its own strategy, regardless of human restrictions."
A graduate from the world s leading Swiss AI Lab IDSIA and instructed by the "father of artificial intelligence" Jurgen Schmidhuber, Dr.Yi Sunhas always paid close attention to DeepMind co-founderShane Legg sAI projects, who also happens to be an IDSIA alumnus. After today s game,he praised the technical improvements of this AlphaGo version in Wuzhen, compared to how the project performed back when it was still in development under the pseudonym "Master".
Dr. Yi Sun at the Future of Go Summit in Wuzhen
Dr.Yi Sunconsidered reinforcement learning technology as AlphaGo2.0 s main highlight. As this technology was one of his research areas at PhD level, Dr. Sun explained the purpose of this concept from the inside out,"Toaccomplish a sophisticated goal through the interaction of an AI and unknown environments, which in this case means to make judgments on a given Go game situation. Reinforcement learning allows the AI to study every middle-game as a "value function" and every move as a "q function" from an ocean of game records. AlphaGo built a new model in this environment, based on AlphaGo1.0 s interaction history. This model would go on to learn the best outcomes of each situation through numerous mistakes, and learn to make plans in the face of uncertainty. As a result, its anticipation and positioning skills also improved to the next level."
Reinforcement learning now shows strong potential in practical applications also. Liulishuo s AI English Teacher was self-developed based on reinforcement learning algorithms similar to those described by Dr.Yi Sun. Along with the supervision of its two specialists, Liulishuo s AI builds an adaptive learning system through continuous reinforcement learning and self-evolution. The result is a truly personalized and adaptive learning path for every user, providing better learning efficiency.
OnMay 24thboth AlphaGo andKe Jiewill take one day off, and AI specialists from DeepMind and Google will discuss the future of AI as part of the Future of Go Summit being held in Wuzhen,China.Yi Wang, the CEO and co-founder of Liulishuo will also share his ideas of applying AI to education during the summit. As forKe Jie, he still has the chance to defeat the upgraded AlphaGo during the two remaining games onMay 25thand 27th.
欲知更多股市機會，速速關註微信號：股市機會情報（thsjihui）
美聯儲12月議息會議 加息25個基點
喊瞭一年要加息兩次，如今隻剩下最後一個月，美聯儲12月的利率決議可謂是...
關註 32
評論 1
歐洲再遇黑天鵝 意大利修憲公投失敗
意大利修憲公投反對票超過贊成票，修憲被否決已成定局。意大利總理倫齊5日...
關註 6
評論 0
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