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You're reading from Apache Spark Deep Learning Cookbook Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

Product type Paperback

Published in Jul 2018

Publisher Packt

ISBN-13 9781788474221

Length 474 pages

Edition 1st Edition

Languages

Scala

Tools

Apache Spark

Concepts

Deep Learning

Authors (2):

Ahmed Sherif

Amrith Ravindra

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Table of Contents (15) Chapters

Preface

1. Setting Up Spark for Deep Learning Development FREE CHAPTER

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

14. Other Books You May Enjoy

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Downloading MovieLens datasets

There is a great research lab center that began in 1992 in Minneapolis, MN called GroupLens, which focuses on recommendation engines and has graciously put together millions of rows of data over several years from the MovieLens website. We will use its dataset as our data source for training our recommendation engine model.

Getting ready

The MovieLens dataset is housed and maintained by GroupLens on the following website:

https://grouplens.org/datasets/movielens/.

It is important to note that the dataset we will use will come directly from their website and not from a third-party intermediary or repository. Additionally, there are two different datasets that are available for us to query:

Recommended for new research
Recommended for education and development

The purpose of using this dataset is purely for educational purposes, so we will download the data from the education and development section of the website. The educational data still contains a significant number...