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Hands-On Deep Learning with Apache Spark

Hands-On Deep Learning with Apache Spark

By : Iozzia
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Hands-On Deep Learning with Apache Spark

Hands-On Deep Learning with Apache Spark

By: Iozzia

Overview of this book

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. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases.
Table of Contents (19 chapters)
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Appendix A: Functional Programming in Scala
Appendix B: Image Data Preparation for Spark

Image Classification

In the previous chapter, after a quick recap on the concept of convolution, we learned more about the strategies for object recognition and more implementation details through examples in Python (Keras) and Scala (DL4J). This chapter covers the implementation of a full image classification web application or web service. The goal here is to show you how to apply the concepts from the previous chapter to an end-to-end classification system.

The steps to complete this goal are as follows:

  • Pick up a proper Keras (with TensorFlow backend) pre-trained CNN model
  • Load it and test it in DL4J (and Spark)
  • Understand how to retrain the Python model on Apache Spark
  • Implement an image classification web application that uses it
  • Implement an alternative image classification web service that uses it

All of the open source technologies that we have come across in the previous...

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