July 2019
Intermediate to advanced
240 pages
7h 23m
Polish
Content preview from Deep Learning
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Rozdział 16. Przygotowywanie systemów uczenia maszynowego do zastosowań produkcyjnych
Tworzenie i uczenie modelu to jedna sprawa; zupełnie innym, często pomijanym zagadnieniem jest wdrażanie modeli w systemach produkcyjnych. Wykonywanie kodu w notatnikach Pythona jest fajne, ale nie pomoże nam zbyt wiele, kiedy będziemy musieli obsługiwać żądania przesyłane przez klienty sieciowe. W tym rozdziale dowiemy się, jak przygotować się do takich rzeczywistych zastosowań.
Zaczniemy od wektorów właściwościowych. Odgrywały one znaczącą rolę w wielu recepturach przedstawionych w poprzednich rozdziałach książki. W rozdziale 3. poznaliśmy liczne interesujące zastosowania wektorów właściwościowych słów, takie jak poszukiwanie słów o podobnym znaczeniu poprzez ...
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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.
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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.