Apache Spark Deep Learning Recipes [Video]

Apache Spark Deep Learning Recipes [Video]

Ahmed Sherif, Amrith Ravindra
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Over 35 videos that streamline deep learning in a distributed environment with Apache Spark
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Video Details

ISBN 13 9781789955521
Course Length 1 hour 49 minutes

Table of Contents

Video 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.
This video course start offs by explaining the process of developing a neural network from scratch using deep learning libraries such as Tensorflow or Keras. It focuses on the pain points of convolution neural networks. We’ll predict fire department calls with Spark ML and Apple stock market cost with LSTM. We’ll walk you through the steps to classify chatbot conversation data for escalation.
By the end of the video course, you'll have all the basic knowledge about apache spark.
The code bundle for this video course is available at https://github.com/PacktPublishing/Apache-Spark-Deep-Learning-Recipes

Style and Approach

This course includes practical, easy-to-understand solutions on how you can implement the popular deep learning libraries such as TensorFlow and Keras to train your deep learning models on Apache Spark, without getting bogged down in theory.

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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

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Table of Contents

Video Details

ISBN 139781789955521
Course Length1 hour 49 minutes
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