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Deep Learning
Josh Patterson
€ 57.04
€ 44.30
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Description for Deep Learning
Paperback. Looking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Num Pages: 400 pages. BIC Classification: UYQM. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666.
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep ... Read more
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep ... Read more
Product Details
Publisher
O´Reilly Media, Inc, USA
Format
Paperback
Publication date
2017
Condition
New
Weight
665g
Number of Pages
536
Place of Publication
Sebastopol, United States
ISBN
9781491914250
SKU
V9781491914250
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Josh Patterson
Adam Gibson is a deep--learning specialist based in San Francisco who works with Fortune 500 companies, hedge funds, PR firms and startup accelerators to create their machine--learning projects. Adam has a strong track record helping companies handle and interpret big real-time data. Adam has been a computer nerd since he was 13, and actively contributes to the open--source community through ... Read more
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