Deep Learning For Dummies
Language: English
Published by John Wiley & Sons Inc, 2019
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
US$ 36.20
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Add to basketItem description from seller
2019. Paperback. . . . . .
Seller Inventory # V9781119543046
- Title
- Deep Learning For Dummies
- Author
- John Paul Mueller
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1119543045
- ISBN 13
- 9781119543046
Take a deep dive into deep learning
Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic―and all of the underlying technologies associated with it.
In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types.
- Includes sample code
- Provides real-world examples within the approachable text
- Offers hands-on activities to make learning easier
- Shows you how to use Deep Learning more effectively with the right tools
This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.
"Synopsis" may belong to another edition of this title.
About the Author
John Paul Mueller is the author of over 100 books including AI for Dummies, Python for Data Science for Dummies, Machine Learning for Dummies, and Algorithms for Dummies. Luca Massaron is a data scientist who interprets big data and transforms it into smart data by means of the simplest and most effective data mining and machine learning techniques. He is a Google Developer Expert (GDE) in machine learning.
"About the title" may belong to another edition of this title.
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