July 2019
Intermediate to advanced
240 pages
7h 23m
Polish
Content preview from Deep Learning
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Rozdział 7. Sugerowanie emoji
W tym rozdziale zbudujemy model, który będzie sugerował emoji na podstawie krótkiego fragmentu tekstu. Zaczniemy od utworzenia prostego klasyfikatora nastawienia, który będziemy uczyć na postawie zestawu publicznie dostępnych tweetów opatrzonych etykietami z różnymi emocjami, takimi jak szczęście, miłość czy zaskoczenie. W pierwszej kolejności wypróbujemy prosty klasyfikator bayesowski, by zrozumieć pojęcie wydajności bazowej (ang. baseline performance), i sprawdzimy, czego ten klasyfikator potrafi się nauczyć. Następnie skorzystamy z konwolucyjnych sieci neuronowych i przyjrzymy się różnym sposobom dostrajania tego klasyfikatora.
Następnie dowiemy się, jak samodzielnie gromadzić tweety, korzystając z API Twittera, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.