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- 532pages
- 19 heures de lecture
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Looking for one central source where you can learn key findings on machine learning? Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a nonacademic manner, and implement the core mathematics in their DL4J library. If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book.
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Deep learning : a practitioner's approach, Josh Patterson, Adam Gibson
- Langue
- Année de publication
- 2017
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- (souple)
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- Titre
- Deep learning : a practitioner's approach
- Langue
- Anglais
- Auteurs
- Josh Patterson, Adam Gibson
- Éditeur
- O'Reilly
- Publié
- 2017
- Format
- souple
- Pages
- 532
- ISBN10
- 1491914254
- ISBN13
- 9781491914250
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Informatique & Internet, Science, Technologie, Intelligence Artificielle
- Évaluation
- 3,75 sur 5
- Description
- Looking for one central source where you can learn key findings on machine learning? Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a nonacademic manner, and implement the core mathematics in their DL4J library. If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book.