WikiCards · Card list · Science cards · Deep learning
Rare card · Science
Deep learning, a Rare card
In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning.
- Rarity
- Rare
- Domain
- Science
- ATK
- 93
- DEF
- 93
- Power
- 186
- Wikipedia reads a year
- 330,000
Power 186 (ATK + DEF): stronger than 95 % of WikiCards cards.
The facts on the card
The card carries these facts from its Wikipedia article.
- The field takes inspiration from biological neuroscience and revolves around stacking artificial neurons into layers and "training" them to process data.
- The adjective "deep" refers to the use of multiple layers in the network.
- Methods used can be supervised, semi-supervised or unsupervised.
Why it is Rare
Rarity in WikiCards follows a year of Wikipedia page views: the most read articles become Epic and Legendary cards. The Deep learning article was read about 330,000 times in a year. ATK comes from the length of the article and DEF from its quality, so this card hits with 93 and blocks with 93: each hit it takes is cut by 37 %.
How to get Deep learning
Open packs. Each pack holds five cards drawn from real Wikipedia articles, the rarest last, and the fifth card is always Rare or better. The odds are shown in the game. A free pack arrives every hour and two can wait, and the Coins you win in duels buy more packs.
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Credits
Text : Wikipedia, Deep learning (revision), CC BY-SA 4.0. Photo : Sven Behnke, CC BY-SA 4.0, Wikimedia Commons.


