Hands-On Deep Learning with Apache Spark : Build and Deploy Distributed Deep Learning Applications on Apache Spark.
Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt,
2019.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Hands-on deep learning with Apache Spark: build and deploy distributed deep learning applications on Apache Spark
- Contributors
- Table of Contents
- Preface
- Chapter 1: The Apache Spark Ecosystem
- Chapter 2: Deep Learning Basics
- Chapter 3: Extract, Transform, Load
- Chapter 4: Streaming
- Chapter 5: Convolutional Neural Networks
- Chapter 6: Recurrent Neural Networks
- Chapter 7: Training Neural Networks with Spark
- Chapter 8: Monitoring and Debugging Neural Network Training
- Chapter 9: Interpreting Neural Network Output
- Chapter 10: Deploying on a Distributed System
- Chapter 11: NLP Basics
- Chapter 12: Textual Analysis and Deep Learning
- Chapter 13: Convolution
- Chapter 14: Image Classification
- Chapter 15: What's Next for Deep Learning?
- Appendix A: Functional Programming in Scala
- Appendix B: Image Data Preparation for Spark
- Other Books You May Enjoy
- Index.