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Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with apache spark / Ahmed Sherif, Amrith Ravindra
Birmingham, UK : Packt Publishing, 2018
462 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 006.31
With the help of the Apache Spark Deep Learning Cookbook, you'll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you'll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you'll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras
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Understanding big data : analytics for enterprise class Hadoop and streaming data / Paul Zikopoulos ... [et al.]
New York : McGraw-Hill, 2012
1 online resource (166 pages)
Ký hiệu phân loại (DDC): 005.74
"Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data-volume, variety, and velocity-are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide."
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