Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark

by Guglielmo Iozzia

Overview

Speed up the design and implementation of deep learning solutions using Apache Spark

• Explore the world of distributed deep learning with Apache Spark

• Train neural networks with deep learning libraries such as BigDL and TensorFlow

• Develop Spark deep learning applications to intelligently handle large and complex datasets

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.

• Understand the basics of deep learning

• Set up Apache Spark for deep learning

• Understand the principles of distribution modeling and different types of neural networks

• Obtain an understanding of deep learning algorithms

• Discover textual analysis and deep learning with Spark

• Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras

• Explore popular deep learning algorithms

If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

Product Details

ISBN-13:	9781788999700
Publisher:	Packt Publishing
Publication date:	01/31/2019
Sold by:	Barnes & Noble
Format:	eBook
Pages:	322
File size:	19 MB
Note:	This product may take a few minutes to download.

About the Author

Guglielmo Iozzia is currently a big data delivery manager at Optum in Dublin. He completed his master's degree in biomedical engineering at the University of Bologna. After graduation, he joined a start-up IT company in Bologna that had implemented a new system to manage online payments. There, he worked on complex Java projects for different customers in different areas. He has also worked at the IT department of FAO, an agency of the United Nations. In 2013, he had the chance to join IBM in Dublin. There, he improved his DevOps skills, working mostly on cloud-based applications. He is a golden member, writes articles at DZone, and maintains a personal blog to share his findings and thoughts about various tech topics.

Table of Contents

Table of Contents

1. The Apache Spark Ecosystem
2. Deep Learning Basics
3. Extract, Transform, Load
4. Streaming
5. Convolutional Neural Networks
6. Recurrent Neural Networks
7. Training Neural Networks with Spark
8. Monitoring and Debugging Neural Network Training
9. Interpreting Neural Network Output
10. Deploying on a Distributed System
11. NLP Basics
12. Textual Analysis and Deep Learning
13. Convolution
14. Image Classification
15. What’s Next for Deep Learning?