Book Image

Apache Spark Deep Learning Cookbook

By : Ahmed Sherif, Amrith Ravindra
Book Image

Apache Spark Deep Learning Cookbook

By: Ahmed Sherif, Amrith Ravindra

Overview of this book

Organizations these days need to integrate popular big data tools such as Apache Spark with highly efficient deep learning libraries if they’re looking to gain faster and more powerful insights from their data. With this book, you’ll discover over 80 recipes to help you train fast, enterprise-grade, deep learning models on Apache Spark. Each recipe addresses a specific problem, and offers a proven, best-practice solution to difficulties encountered while implementing various deep learning algorithms in a distributed environment. The book follows a systematic approach, featuring a balance of theory and tips with best practice solutions to assist you with training different types of neural networks such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). You’ll also have access to code written in TensorFlow and Keras that you can run on Spark to solve a variety of deep learning problems in computer vision and natural language processing (NLP), or tweak to tackle other problems encountered in deep learning. By the end of this book, you'll have the skills you need to train and deploy state-of-the-art deep learning models on Apache Spark.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
Index

Downloading the therapy bot session text dataset


This section will focus on downloading and setting up the dataset that will be used for NLP in this chapter.

Getting ready

The dataset that we will use in this chapter is based on interactions between a therapy bot and visitors to an online therapy website. It contains 100 interactions and each interaction is tagged as either escalate or do_not_escalate. If the discussion warrants a more serious conversation, the bot will tag the discussion as escalate to an individual. Otherwise, the bot will continue the discussion with the user.

How it works...

This section walks through the steps for downloading the chatbot data.

  1. Access the dataset from the following GitHub repository: https://github.com/asherif844/ApacheSparkDeepLearningCookbook/tree/master/CH07/data
  2. Once you arrive at the repository, right-click on the file seen in the following screenshot:
  1. Download TherapyBotSession.csvand save to the same local directory as the Jupyter notebookSparkSession...