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


Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark
By 作者: Guglielmo Iozzia
ISBN-10 书号: 1788994612
ISBN-13 书号: 9781788994613
Release Finelybook 出版日期: 2019-01-31
pages 页数: (322 )

$44.99


Book Description to Finelybook sorting

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.

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?
What You Will Learn
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
Authors
Guglielmo Iozzia
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.

下载地址
仅供注册用户可见,下载价格0.1积分,请先

ZIP压缩文内包含(PDF+EPUB+AZW3+MOBI+Code)其一
捐助送帐号积分点击了解一下
赞(0) 赞赏
未经允许不得转载:finelybook » Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就赞赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏