Java Deep Learning Essentials : Unlocking the next generation of predictive power
Language: English
Published by Packt Publishing, 2016
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 113.50
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with JavaKey FeaturesBook DescriptionAI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science - if you're a Java developer, this book gives you a great opportunity to expand your skillset.Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today.By the end of the book, you'll be ready to tackle Deep Learning with Java. Wherever you've come from - whether you're a data scientist or Java developer - you will become a part of the Deep Learning revolution!What You Will LearnWho this book is for¿This book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend to leverage deep learning in their projects, working within a big data environment.…
Seller Inventory # 9781785282195
- Title
- Java Deep Learning Essentials : Unlocking the next generation of predictive power
- Author
- Yusuke Sugomori
- Publisher
- Packt Publishing
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1785282190
- ISBN 13
- 9781785282195
- Item weight
- 482 grams
- Dimensions
- 235x191x14 mm
Solve complex data science tasks through practical applications of deep learning with Java
About This Book
- Introduces modern machine learning techniques, and dives into deep learning algorithms for practical applications
- Build from scratch and library-oriented implementations with Java to fully grasp the structure of deep learning
- Get to grips with latest deep learning techniques and learn to implement the core mathematics needed
Who This Book Is For
This book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend to leverage deep learning in their projects, working within a big data environment.
What You Will Learn
- Get a practical deep dive into machine learning and deep learning algorithms
- Implement machine learning algorithms related to deep learning
- Overcome the difficulties of neural networks using deep learning
- Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms
- Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
- Gain an insight into the deep learning library DL4J and its practical uses
- Get to know device strategies to use deep learning algorithms and libraries in the real world
- Explore deep learning further with Theano and Caffe
In Detail
With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. Deep learning has provided a revolutionary step to actualize AI. However, deep learning is still under active research and is considered complex and difficult.
Starting with an introduction to basic machine learning algorithms (related to deep learning), this book will help you understand the core concepts and mathematics of deep learning. We will quickly move on to explore neural networks and identify how to tackle challenges in larger networks using advanced algorithms. We will learn about the DL4J library and apply deep learning to various real-world use cases. Taking a hands-on practical approach, we will solve challenging problems in image processing, speech recognition, language modeling, and a wide variety of scenarios.
By the end of the book, we will have worked through practical examples following the best practices in Java for deep learning. As bonus content, we will discuss and explore other deep learning areas such as Theano and Caffe.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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