我前陣子突然意識到內衣的重要性
之前看朋友瘦了看起來瘦了10公斤一樣，但她說其實沒有她只是穿對內衣整個體型就改善了
原來還有這招!!?!?!?所以最近才考量要重新買內衣~剛好也是要換
結果發現在有賣很多機能性的內衣，可以束腹幫助拉提等等功用的
上網找評價結果發現其實有很多優秀的小牌子完全不輸有牌子的內衣
而且忠實客戶還不少耶
結果我也買了一件運動用的爆汗褲及塑身的內衣~~
一個月過後來看看效果如何
真的好期待喔
我選擇的是這一款【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)
雖然是小牌子沒有大牌子的光環【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)價格也便宜
其實台灣的廠商真的是很有競爭力只是沒有好好包裝而已
而且因為只有在網路上販售並沒有在實體店面所以直接回饋價格給網民
而且很多 知名購物商城加入會員以後會不定時送電子折價券，所以其實買到的價格很多時候都比標價便宜很多
如果在購物商城買的話，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↓↓↓
【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)
討論,推薦,開箱,CP值,熱賣,團購,便宜,優惠,介紹,排行,精選,特價,周年慶,體驗,限時,內衣推薦,塑身內衣,機能內衣
↓↓↓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~~
AlphaGo defeats Lee Sedol 4
South Korea's Lee Sedol finally broke the myth of AlphaGo, the computer created by DeepMind, after losing three consecutive matches, rallying to win himself and humanity some dignity to beat the Google Artificial Intelligence (AI) program in Game 4 of five-game human vs. machine Go-chess showdown on Sunday. (Xinhua photo)
SEOUL, March 15 (Xinhua) -- Google's Go-playing computer program AlphaGo on Tuesday ended a historic match of the ancient Chinese board game with Go grandmaster Lee Sedol of South Korea by taking a 4-1 lead with its fourth victory in the final match of the best-of-five series.
The final winner was already determined before Tuesday's encounter as Lee lost the first three games of the five-game match. AlphaGo got 1 million U.S. dollars in prize, which will be donated to charities.
The human Go champion beat the artificial intelligence (AI), developed by Google's London-based AI subsidiary DeepMind, in the fourth match, but Lee was defeated once again in the final match.
Despite the sweeping victory, it is too early to say that AI has surpassed humans 運動內衣品牌in Go because Lee fought AlphaGo with little knowledge about the computer program, including a playing style and a strategy, one commentator said.
Only after analyzing AlphaGo's strategy sufficiently and holding a match once again between the AI and human Go players, can it be determined whether machines may surpass humans in the board game, the commentator said.
Lee and AlphaGo exchanged 280 moves for five hours, the longest among the five games that kicked off last Wednesday in Seoul. Lee displayed a fighting spirit to the last minute, but he eventually lost by a narrow margin.
The 33-year-old kept a tight game with the two-year-old computer program by the middle of the match, but a decisive moment came past halfway as AlphaGo succeeded in attacking the lower-left side.
At the lower-left side, AlphaGo made questionable moves, which looked like blunders at the first sight, but those also proved to be a strategy to win more territory in hindsight.
Commentators said AlphaGo made excellent moves in the latter half of the game, proving its better capability to play as time goes on. Lee didn't make any big missteps during the game, experts said.
About four and a half hours into the match, AlphaGo had been subject to the one-minute countdown for the first time as the Go-playing AI consumed all of the given two-hour time limit.
AlphaGo made a very rapid decision on moves, in which human Go players tend to take very long, but the computer program took a long time to make moves that humans think of as easy to determine, according to commentators.
Playing black, Lee put his first two stones right beside flower spots in the right side, while AlphaGo placed its first two white stones in flowers in the left side.
After his first win on Sunday, Lee offered to play black stones, with which he believed AlphaGo displayed a relatively weak play.
About two and a half hours into the match, a tight game continued. AlphaGo attacked the right center by seeking to build a large territory there, while Lee built a territory in the lower-right side of the board according to his strategy which reportedly occupies more areas in an early phase.
In the fourth match where Lee won his first victory after three straight losses, AlphaGo made bad moves after Lee began to dominate in building a territory.
Lee's first victory over AlphaGo indicated that AI hasn't surpassed humans completely in Go, which had been regarded as the last game humans can dominate over machines due to its complex, intuitive and creative nature.
AlphaGo boasts of a deep learning capability to learn for itself and discover new strategies by playing games against itself and adjusting neural networks based on a trial-and-error process known as reinforcement learning.
Lee is regarded as one of the greatest Go players in the world as he won 18 world championships for 21 years of his professional career. He recorded a winning rate of about 70 percent with 47 victories in professional matches.
Go, known as Weiqi in China and Baduk in South Korea, originated from China thousands of years ago. It involves two players who take turns putting white and black stones on a grid of 19 lines by 19 lines. One can win an opponent when gaining more territory on the grid. One can remove stones of the opponent by surrounding the pieces.
Related:
Lee Sedol builds territory in early phase over AlphaGo in historic Go match
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea on Tuesday pursued a strategy of building more territory in an early phase at the final match of the best-of-five series with Google's computer program AlphaGo at the ancient Chinese board game.
The final of the historic five-game match began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol, AlphaGo keep tight race in final內衣推薦 Go match of century
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea and Google's computer program AlphaGo on Tuesday kept a tight race around the middle of the final match of the best-of-five series at the ancient Chinese board game.
The "match of the century" began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol says AlphaGo has weak points after 1st win in Go match
SEOUL, March 13 (Xinhua) -- South Korean Go grandmaster Lee Sedol said on Sunday that Google's computer program AlphaGo has weak points after his first victory over the Go-playing artificial intelligence (AI) in the fourth of the best-of-five series at the ancient Chinese board game.
"There are two weak points AlphaGo revealed," Lee told a press conference after the game, which is seen as a representative match between humans and AI.?Full story
South Korea's Lee Sedol finally broke the myth of AlphaGo, the computer created by DeepMind, after losing three consecutive matches, rallying to win himself and humanity some dignity to beat the Google Artificial Intelligence (AI) program in Game 4 of five-game human vs. machine Go-chess showdown on Sunday. (Xinhua photo)
SEOUL, March 15 (Xinhua) -- Google's Go-playing computer program AlphaGo on Tuesday ended a historic match of the ancient Chinese board game with Go grandmaster Lee Sedol of South Korea by taking a 4-1 lead with its fourth victory in the final match of the best-of-five series.
The final winner was already determined before Tuesday's encounter as Lee lost the first three games of the five-game match. AlphaGo got 1 million U.S. dollars in prize, which will be donated to charities.
The human Go champion beat the artificial intelligence (AI), developed by Google's London-based AI subsidiary DeepMind, in the fourth match, but Lee was defeated once again in the final match.
Despite the sweeping victory, it is too early to say that AI has surpassed humans in Go because Lee fought AlphaGo with little knowledge about the computer program, including a playing style and a strategy, one commentator said.
Only after analyzing AlphaGo's strategy sufficiently and holding a match once again between the AI and human Go players, can it be determined whether machines may surpass humans in the board game, the commentator said.
Lee and AlphaGo exchanged 280 moves for five hours, the longest among the five games that kicked off last Wednesday in Seoul. Lee displayed a fighting spirit to the last minute, but he eventually lost by a narrow margin.
The 33-year-old kept a tight game with the two-year-old computer program by the middle of the match, but a decisive moment came past halfway as AlphaGo succeeded in attacking the lower-left side.
At the lower-left side, AlphaGo made questionable moves, which looked like blunders at the first sight, but those also proved to be a strategy to win more territory in hindsight.
Commentators said AlphaGo made excellent moves in the latter half of the game, proving its better capability to play as time goes on. Lee didn't make any big missteps during the game, experts said.
About four and a half hours into the match, AlphaGo had been subject to the one-minute countdown for the first time as the Go-playing AI consumed all of the given two-hour time limit.
AlphaGo made a very rapid decision on moves, in which human Go players tend to take very long, but the computer program took a long time to make moves that humans think of as easy to determine, according to commentators.
Playing black, Lee put his first two stones right beside flower spots in the right side, while AlphaGo placed its first two white stones in flowers in the left side.
After his first win on Sunday, Lee offered to play black stones, with which he believed AlphaGo displayed a relatively weak play.
About two and a half hours into the match, a tight game continued. AlphaGo attacked the right center by seeking to build a large territory there, while Lee built a territory in the lower-right side of the board according to his strategy which reportedly occupies more areas in an early phase.
In the fourth match where Lee won his first victory after three straight losses, AlphaGo made bad moves after Lee began to dominate in building a territory.
Lee's first victory over AlphaGo indicated that AI hasn't surpassed humans completely in Go, which had been regarded as the last game humans can dominate over machines due to its complex, intuitive and creative nature.
AlphaGo boasts of a deep learning capability to learn for itself and discover new strategies by playing games against itself and adjusting neural networks based on a trial-and-error process known as reinforcement learning.
Lee is regarded as one of the greatest Go players in the world as he won 18 world championships for 21 years of his professional career. He recorded a winning rate of about 70 percent with 47 victories in professional matches.
Go, known as Weiqi in China and Baduk in South Korea, originated from China thousands of years ago. It involves two players who take turns putting white and black stones on a grid of 19 lines by 19 lines. One can win an opponent when gaining more territory on the grid. One can remove stones of the opponent by surrounding the pieces.
Related:
Lee Sedol builds territory in early phase over AlphaGo in historic Go match
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea on Tuesday pursued a strategy of building more territory in an early phase at the final match of the best-of-five series with Google's computer program AlphaGo at the ancient Chinese board game.
The final of the historic five-game match began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol, AlphaGo keep tight race in final Go match of century
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea and Google's computer program AlphaGo on Tuesday kept a tight race around the middle of the final match of the best-of-five series at the ancient Chinese board game.
The "match of the century" began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol says AlphaGo has weak points after 1st win in Go match
SEOUL, March 13 (Xinhua) -- South Korean Go grandmaster Lee Sedol said on Sunday that Google's computer program AlphaGo has weak points after his first victory over the Go-playing artificial intelligence (AI) in the fourth of the best-of-five series at the ancient Chinese board game.
"There are two weak points AlphaGo revealed," Lee told a press conference after the game, which is seen as a representative match between humans and AI.?Full story
【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)內衣尺寸對照【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)運動內衣推薦【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)內衣特賣會#GOODS_NAME#內衣穿法【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)高強度運動內衣推薦#GOODS_NAME#塑身衣有用嗎【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)塑身內衣推薦【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)內衣特賣 您或許有興趣的東西:
之前看朋友瘦了看起來瘦了10公斤一樣，但她說其實沒有她只是穿對內衣整個體型就改善了
原來還有這招!!?!?!?所以最近才考量要重新買內衣~剛好也是要換結果發現在有賣很多機能性的內衣，可以束腹幫助拉提等等功用的
上網找評價結果發現其實有很多優秀的小牌子完全不輸有牌子的內衣
而且忠實客戶還不少耶
結果我也買了一件運動用的爆汗褲及塑身的內衣~~
一個月過後來看看效果如何
真的好期待喔我選擇的是這一款【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)
雖然是小牌子沒有大牌子的光環【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)價格也便宜
其實台灣的廠商真的是很有競爭力只是沒有好好包裝而已
而且因為只有在網路上販售並沒有在實體店面所以直接回饋價格給網民
而且很多 知名購物商城加入會員以後會不定時送電子折價券，所以其實買到的價格很多時候都比標價便宜很多
如果在購物商城買的話，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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【Chlansilk闕蘭絹】輕柔簡約100%蠶絲內褲-308(粉紅)
討論,推薦,開箱,CP值,熱賣,團購,便宜,優惠,介紹,排行,精選,特價,周年慶,體驗,限時,內衣推薦,塑身內衣,機能內衣
↓↓↓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 defeats Lee Sedol 4
South Korea's Lee Sedol finally broke the myth of AlphaGo, the computer created by DeepMind, after losing three consecutive matches, rallying to win himself and humanity some dignity to beat the Google Artificial Intelligence (AI) program in Game 4 of five-game human vs. machine Go-chess showdown on Sunday. (Xinhua photo)
SEOUL, March 15 (Xinhua) -- Google's Go-playing computer program AlphaGo on Tuesday ended a historic match of the ancient Chinese board game with Go grandmaster Lee Sedol of South Korea by taking a 4-1 lead with its fourth victory in the final match of the best-of-five series.
The final winner was already determined before Tuesday's encounter as Lee lost the first three games of the five-game match. AlphaGo got 1 million U.S. dollars in prize, which will be donated to charities.
The human Go champion beat the artificial intelligence (AI), developed by Google's London-based AI subsidiary DeepMind, in the fourth match, but Lee was defeated once again in the final match.
Despite the sweeping victory, it is too early to say that AI has surpassed humans 運動內衣品牌in Go because Lee fought AlphaGo with little knowledge about the computer program, including a playing style and a strategy, one commentator said.
Only after analyzing AlphaGo's strategy sufficiently and holding a match once again between the AI and human Go players, can it be determined whether machines may surpass humans in the board game, the commentator said.
Lee and AlphaGo exchanged 280 moves for five hours, the longest among the five games that kicked off last Wednesday in Seoul. Lee displayed a fighting spirit to the last minute, but he eventually lost by a narrow margin.
The 33-year-old kept a tight game with the two-year-old computer program by the middle of the match, but a decisive moment came past halfway as AlphaGo succeeded in attacking the lower-left side.
At the lower-left side, AlphaGo made questionable moves, which looked like blunders at the first sight, but those also proved to be a strategy to win more territory in hindsight.
Commentators said AlphaGo made excellent moves in the latter half of the game, proving its better capability to play as time goes on. Lee didn't make any big missteps during the game, experts said.
About four and a half hours into the match, AlphaGo had been subject to the one-minute countdown for the first time as the Go-playing AI consumed all of the given two-hour time limit.
AlphaGo made a very rapid decision on moves, in which human Go players tend to take very long, but the computer program took a long time to make moves that humans think of as easy to determine, according to commentators.
Playing black, Lee put his first two stones right beside flower spots in the right side, while AlphaGo placed its first two white stones in flowers in the left side.
After his first win on Sunday, Lee offered to play black stones, with which he believed AlphaGo displayed a relatively weak play.
About two and a half hours into the match, a tight game continued. AlphaGo attacked the right center by seeking to build a large territory there, while Lee built a territory in the lower-right side of the board according to his strategy which reportedly occupies more areas in an early phase.
In the fourth match where Lee won his first victory after three straight losses, AlphaGo made bad moves after Lee began to dominate in building a territory.
Lee's first victory over AlphaGo indicated that AI hasn't surpassed humans completely in Go, which had been regarded as the last game humans can dominate over machines due to its complex, intuitive and creative nature.
AlphaGo boasts of a deep learning capability to learn for itself and discover new strategies by playing games against itself and adjusting neural networks based on a trial-and-error process known as reinforcement learning.
Lee is regarded as one of the greatest Go players in the world as he won 18 world championships for 21 years of his professional career. He recorded a winning rate of about 70 percent with 47 victories in professional matches.
Go, known as Weiqi in China and Baduk in South Korea, originated from China thousands of years ago. It involves two players who take turns putting white and black stones on a grid of 19 lines by 19 lines. One can win an opponent when gaining more territory on the grid. One can remove stones of the opponent by surrounding the pieces.
Related:
Lee Sedol builds territory in early phase over AlphaGo in historic Go match
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea on Tuesday pursued a strategy of building more territory in an early phase at the final match of the best-of-five series with Google's computer program AlphaGo at the ancient Chinese board game.
The final of the historic five-game match began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol, AlphaGo keep tight race in final內衣推薦 Go match of century
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea and Google's computer program AlphaGo on Tuesday kept a tight race around the middle of the final match of the best-of-five series at the ancient Chinese board game.
The "match of the century" began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol says AlphaGo has weak points after 1st win in Go match
SEOUL, March 13 (Xinhua) -- South Korean Go grandmaster Lee Sedol said on Sunday that Google's computer program AlphaGo has weak points after his first victory over the Go-playing artificial intelligence (AI) in the fourth of the best-of-five series at the ancient Chinese board game.
"There are two weak points AlphaGo revealed," Lee told a press conference after the game, which is seen as a representative match between humans and AI.?Full story
South Korea's Lee Sedol finally broke the myth of AlphaGo, the computer created by DeepMind, after losing three consecutive matches, rallying to win himself and humanity some dignity to beat the Google Artificial Intelligence (AI) program in Game 4 of five-game human vs. machine Go-chess showdown on Sunday. (Xinhua photo)
SEOUL, March 15 (Xinhua) -- Google's Go-playing computer program AlphaGo on Tuesday ended a historic match of the ancient Chinese board game with Go grandmaster Lee Sedol of South Korea by taking a 4-1 lead with its fourth victory in the final match of the best-of-five series.
The final winner was already determined before Tuesday's encounter as Lee lost the first three games of the five-game match. AlphaGo got 1 million U.S. dollars in prize, which will be donated to charities.
The human Go champion beat the artificial intelligence (AI), developed by Google's London-based AI subsidiary DeepMind, in the fourth match, but Lee was defeated once again in the final match.
Despite the sweeping victory, it is too early to say that AI has surpassed humans in Go because Lee fought AlphaGo with little knowledge about the computer program, including a playing style and a strategy, one commentator said.
Only after analyzing AlphaGo's strategy sufficiently and holding a match once again between the AI and human Go players, can it be determined whether machines may surpass humans in the board game, the commentator said.
Lee and AlphaGo exchanged 280 moves for five hours, the longest among the five games that kicked off last Wednesday in Seoul. Lee displayed a fighting spirit to the last minute, but he eventually lost by a narrow margin.
The 33-year-old kept a tight game with the two-year-old computer program by the middle of the match, but a decisive moment came past halfway as AlphaGo succeeded in attacking the lower-left side.
At the lower-left side, AlphaGo made questionable moves, which looked like blunders at the first sight, but those also proved to be a strategy to win more territory in hindsight.
Commentators said AlphaGo made excellent moves in the latter half of the game, proving its better capability to play as time goes on. Lee didn't make any big missteps during the game, experts said.
About four and a half hours into the match, AlphaGo had been subject to the one-minute countdown for the first time as the Go-playing AI consumed all of the given two-hour time limit.
AlphaGo made a very rapid decision on moves, in which human Go players tend to take very long, but the computer program took a long time to make moves that humans think of as easy to determine, according to commentators.
Playing black, Lee put his first two stones right beside flower spots in the right side, while AlphaGo placed its first two white stones in flowers in the left side.
After his first win on Sunday, Lee offered to play black stones, with which he believed AlphaGo displayed a relatively weak play.
About two and a half hours into the match, a tight game continued. AlphaGo attacked the right center by seeking to build a large territory there, while Lee built a territory in the lower-right side of the board according to his strategy which reportedly occupies more areas in an early phase.
In the fourth match where Lee won his first victory after three straight losses, AlphaGo made bad moves after Lee began to dominate in building a territory.
Lee's first victory over AlphaGo indicated that AI hasn't surpassed humans completely in Go, which had been regarded as the last game humans can dominate over machines due to its complex, intuitive and creative nature.
AlphaGo boasts of a deep learning capability to learn for itself and discover new strategies by playing games against itself and adjusting neural networks based on a trial-and-error process known as reinforcement learning.
Lee is regarded as one of the greatest Go players in the world as he won 18 world championships for 21 years of his professional career. He recorded a winning rate of about 70 percent with 47 victories in professional matches.
Go, known as Weiqi in China and Baduk in South Korea, originated from China thousands of years ago. It involves two players who take turns putting white and black stones on a grid of 19 lines by 19 lines. One can win an opponent when gaining more territory on the grid. One can remove stones of the opponent by surrounding the pieces.
Related:
Lee Sedol builds territory in early phase over AlphaGo in historic Go match
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea on Tuesday pursued a strategy of building more territory in an early phase at the final match of the best-of-five series with Google's computer program AlphaGo at the ancient Chinese board game.
The final of the historic five-game match began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol, AlphaGo keep tight race in final Go match of century
SEOUL, March 15 (Xinhua) -- Go grandmaster Lee Sedol of South Korea and Google's computer program AlphaGo on Tuesday kept a tight race around the middle of the final match of the best-of-five series at the ancient Chinese board game.
The "match of the century" began at 1 p.m. (0400 GMT) at Four Seasons hotel in Seoul. Full story
Lee Sedol says AlphaGo has weak points after 1st win in Go match
SEOUL, March 13 (Xinhua) -- South Korean Go grandmaster Lee Sedol said on Sunday that Google's computer program AlphaGo has weak points after his first victory over the Go-playing artificial intelligence (AI) in the fourth of the best-of-five series at the ancient Chinese board game.
"There are two weak points AlphaGo revealed," Lee told a press conference after the game, which is seen as a representative match between humans and AI.?Full story
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