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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

What's Next for Deep Learning?

This final chapter will try to give an overview of what's in store for the future of deep learning (DL) and, more generally, for AI.

We will be covering the following topics in this chapter:

  • DL and AI
  • Hot topics
  • Spark and Reinforcement Learning (RL)
  • Support for Generative Adversarial Networks (GANs) in DL4J

The rapid advancement of technology not only speeds up the implementation of existing AI ideas, it creates new opportunities in this space that would have been unthinkable one or two years ago. Day by day, AI is finding new practical applications in diverse areas and is radically transforming the way we do business in them. Therefore, it would be impossible to cover all of the new scenarios, so we are going to focus on some particular contexts/areas where we have been directly or indirectly involved.

...

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