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 /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sugomori, Yusuke (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2016.
Colección:Community experience distilled.
Temas:
Java (Computer program language)
Machine learning.
Application software > Development.
Java (Langage de programmation)
Apprentissage automatique.
Logiciels d'application > Développement.
COMPUTERS / Programming Languages / Java
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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