There are lots of articles and blogs explaining how AlphaGo works, such as, the DeepMind official page AlphaGo, the academic paper on Nature: Mastering the game of Go with deep neural networks a…
It is believed to be a very good learning material and reference for all the researchers and learners. The pdf of the English version is forbidden due to the copyright issues (Check the FAQ on the page to see more details). If you do not like reading online, the hardcopy is available on Amazon with a price of 72$ 😦 (I guess reading online is fine).
However, a translated pdf version in Chinese could be found and download on Github. I have to say that this translation speed is impressive. I have been reading this Chinese version and I can tell the quality is good enough for Chinese readers. Many thanks to the team for sharing the Deep Learning knowledge!
An article begins with the Title, Abstract, and Keywords. The article text follows the IMRAD format, which responses to the question below: Introduction: What did you/other do? Why did you do it? M…
Deepmind founder Demis Hassabis, whose London-based AI startup was acquired by Google in 2014, later confirmed on Twitter that Master is a new version ofAlphaGo under “unofficial testing.”
As a very low-rank Go player (Zero Dan :P), this is a stunning news.
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix. If you want to ask the physical meaning of the singular value, then we must consider the actual application of SVD.