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AlphaGo 又要重出江湖了

DeepMind 家的 AlphaGo 又要重出江湖了:「Exploring the mysteries of Go with AlphaGo and China's top players」。這次將會跟中國的頂尖職業棋手對弈,裡面提到三種賽制:

The summit will feature a variety of game formats involving AlphaGo and top Chinese players, specifically designed to explore the mysteries of the game together. The games will include:

  • “Pair Go” — A game where one Chinese pro will play against another...except they will both have their own AlphaGo teammate, alternating moves, to take the concept of ‘learning together’ quite literally.
  • “Team Go” — A game between AlphaGo and a five-player team consisting of China’s top pro players, working together to test AlphaGo’s creativity and adaptability to their combined style.
  • “Ke Jie vs AlphaGo” — Of course, the centerpiece of the event will be a classic 1:1 match of three games between AlphaGo and the world’s number one player, Ke Jie, to push AlphaGo to (...perhaps beyond!) its limits.

有傳言是這樣打 (目前大家都抄來抄去...),但目前還沒看到正式的公告:

(一)5月23,25,27日 柯潔與AlphaGo三番棋:每方3小時,5次1分鐘讀秒;
(二)5月26日 時越、羋昱廷、唐韋星、陳耀燁和周睿羊5人團隊賽:每方2小時30分,保留3次1分鐘讀秒;
(三)5月26日 古力、連笑人機配對賽:每方1小時,1次1分鐘讀秒。

另外有一篇「Innovations of AlphaGo」講了不少年初 AlphaGo 連勝六十盤的對局給人類棋手的啟發。

另外 DeepMind 的 CEO,Demis Hassabis 前幾天剛好有給了一個演講,也是講了不少東西 (不過都是之前就提過的):

這樣來安排那幾天空時間下來...

nginx 宣佈了 Early Alpha 版本的 HTTP/2 支援

nginx 宣佈了 Early Alpha 的 HTTP/2 支援:「Announcing an Early Alpha Patch for HTTP/2」。

除了警告這是早期版本不應該用在 production 上,另外也說明了目前的 patch 會讓 SPDY 失效:

Applying this patch removes the SPDY module from the NGINX codebase and replaces it with the HTTP/2 module. After applying this patch, you can no longer configure NGINX to use SPDY.

而在這之後也不會讓 HTTP/2 與 SPDY 同時並存:

This will also be the case for the production-ready release of the HTTP/2 implementation in both NGINX and NGINX Plus. SPDY is being deprecated by Google in early 2016, so there is no need to support both.

但從 HTTP/2 的支援度SPDY 的支援度來看,行動裝置都還不支援 HTTP/2,但 iOS 8.4 以及 Android 3+ 都已經支援 SPDY 了,這樣看起來非常的傷啊...

不知道到年底會有什麼其他解決方案出現...

圖片的去背...

Lyst 的「Image Background Removal」這篇在講圖片去背的方法。

Lyst 是把這個演算法用在上架自動分類的一環:圖片先去背,然後再用 classifier 綜合其他的 metadata 判斷要分到那一類。

這邊去背的演算法很簡單:

其實 Lyst 這篇是在說「要怎麼打組合拳」:利用現有最簡單的技術去堆積木,想辦法找出一套合理的解。而不是像學術上的那樣要求做到極致。所以也有像這樣不是處理的很好的:

這種組合拳反倒還蠻適合在學校裡教?

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