Description
Deep Learning
A Practitioner's Approach
Authors: Patterson Josh, Gibson Adam
Language: EnglishSubject for Deep Learning:
Approximative price 55.98 €
In Print (Delivery period: 14 days).
Add to cart the book of Patterson Josh, Gibson Adam507 p. · 18.1x23.3 cm · Paperback
Description
/li>Contents
/li>Biography
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Looking for one central source where you can learn key findings on machine learning? Deep Learning: A Practitioner's Approach 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.
- Chapter 3 - Fundamentals of Deep Networks
- Chapter 4 - Major Architectures of Deep Networks
- Chapter 5 - Building Deep Network
- Chapter 6 - Tuning Deep Networks
- Chapter 7 - Tuning Specific Deep Network Architectures
- Chapter 8 - Vectorization
- Chapter 9 - Using Deep Learning and DL4J on Spark
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.