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 |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt Publishing,
2016.
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Colección: | Community experience distilled.
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Temas: | |
Acceso en línea: | Texto completo Texto completo |
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.