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Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java /
AI 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 go...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2016.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 008 | 160623s2016 enka o 001 0 eng d | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Sugomori, Yusuke, |e author. | |
| 245 | 1 | 0 | |a Java deep learning essentials : |b dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java / |c Yusuke Sugomori. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2016. | |
| 300 | |a 1 online resource : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on September 05, 2019). | ||
| 505 | 0 | |a Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 1: Deep Learning Overview -- Chapter 2: Algorithms for Machine Learning -- Preparing for Deep Learning -- Chapter 3: Deep Belief Nets and Stacked Denoising Autoencoders -- Chapter 4: Dropout and Convolutional Neural Networks -- Chapter 5: Exploring Java Deep Learning Libraries -- DL4J, ND4J, and More -- Chapter 6: Approaches to Practical Applications -- Recurrent Neural Networks and More -- Chapter 7: Other Important Deep Learning Libraries -- Chapter 8: What's Next? -- Index. | |
| 520 | 3 | |a AI 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. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Java (Computer program language) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 6 | |a Java (Langage de programmation) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Java |2 bisacsh | |
| 650 | 7 | |a Application software |x Development. |2 fast |0 (OCoLC)fst00811707 | |
| 650 | 7 | |a Java (Computer program language) |2 fast |0 (OCoLC)fst00982065 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781785282195/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a EBSCOhost |b EBSC |n 1243158 | ||
| 994 | |a 92 |b IZTAP | ||