Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

Buy

A solution-based guide to put your deep learning models into production with the power of Apache Spark

Key Features

  • Discover practical recipes for distributed deep learning with Apache Spark
  • Learn to use libraries such as Keras and TensorFlow
  • Solve problems in order to train your deep learning models on Apache Spark

Book Description

With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed.

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.

By the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark.

What you will learn

  • Set up a fully functional Spark environment
  • Understand practical machine learning and deep learning concepts
  • Apply built-in machine learning libraries within Spark
  • Explore libraries that are compatible with TensorFlow and Keras
  • Explore NLP models such as Word2vec and TF-IDF on Spark
  • Organize dataframes for deep learning evaluation
  • Apply testing and training modeling to ensure accuracy
  • Access readily available code that may be reusable

Who this book is for

If you’re looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python is a plus.

Table of Contents

  1. Setting Up Spark for Deep Learning Development
  2. Creating a Neural Network in Spark
  3. Pain Points of Convolutional Neural Networks
  4. Pain Points of Recurrent Neural Networks
  5. Predicting Fire Department Calls with Spark ML
  6. Using LSTMs in Generative Networks
  7. Natural Language Processing with TF-IDF
  8. Real Estate Value Prediction using XGBoost
  9. Predicting Apple Stock Market Cost with LSTM
  10. Face Recognition using Deep Convolutional Networks
  11. Creating and Visualizing Word Vectors Using Word2Vec
  12. Creating a Movie Recommendation Engine with Keras
  13. Image Classification with TensorFlow on Spark
(HTML tags aren't allowed.)

Object-Oriented Project Management with UML
Object-Oriented Project Management with UML
This book is a practical guide to modern software development. It grew out of
a course I regularly teach at TASC, which itself began as happenstance. I had
been asked to appraise an online course on managing object-oriented
development. I hated it. It was a rehash of the old, discredited waterfall
methods of software
...
The Complete Idiot's Guide to Creating Your Own CDs (2nd Edition)
The Complete Idiot's Guide to Creating Your Own CDs (2nd Edition)
CD-ROM "burners" are a standard feature on many new PCs. This title provides expert advice on creating CD-ROMs in an easy to comprehend language. Topics covered include: CD burning troubleshooting, copyright and format issues. --This text refers to an out of print or unavailable edition of this title.

...
Pro PHP Application Performance: Tuning PHP Web Projects for Maximum Performance
Pro PHP Application Performance: Tuning PHP Web Projects for Maximum Performance

Pro PHP Application Performance will help you understand all the technologies and components which play a role in how well your applications run. When seconds can mean the difference between retaining a user and losing a user, it's important for all of us to have optimization as part of our project roadmap. But what components within your...


Principles of Solid Mechanics
Principles of Solid Mechanics
There is no area of applied science more diverse and powerful than the mechanics of deformable solids nor one with a broader and richer history. From Galileo and Hooke through Coulomb, Maxwell, and Kelvin to von Neuman and Einstein, the question of how solids behave for structural applications has been a basic theme for physical research exciting...
Law and Legal Institutions of Asia: Traditions, Adaptations and Innovations
Law and Legal Institutions of Asia: Traditions, Adaptations and Innovations

The study of Asia and its plural legal systems is of increasing significance, both within and outside Asia. Lawyers, whether in Australia, America or Europe, or working within an Asian jurisdiction, require a sound knowledge of how the law operates across this fast-growing and diverse region. Law and Legal Institutions of Asia is the first...

Raspberry Pi A Quick-Start Guide
Raspberry Pi A Quick-Start Guide
Over the past decades computers have gotten cheaper and cheaper, so today you can find them not only beneath your desk but in nearly every consumer electronics device such as smartphones or DVD players. Still, computers aren’t so cheap that you spontaneously buy one when shopping for your groceries. Usually, you carefully...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy