Distributed Deep Learning with Apache Spark

Online Course

Udemy
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Distributed Deep Learning with Apache Spark
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Distributed Deep Learning with Apache Spark
The course Distributed Deep Learning with Apache Spark is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

End to end pipeline with different deep learning frameworks to be embedded in Spark workflows

Course description
  • Distributed Deep Learning with Apache Spark
  • The distributed nature of Apache Spark and how to compose it with deep learning programs
  • Adding the ND4J library for Spark distributed vector processing
  • Learn how to use recurrent neural network textual data
  • Plugging the Word2Vec algorithm into the RNN layer
  • Solve the anomaly detection problem via a deep learning approach
  • Prior knowledge of Spark is mandatory.
  • 2 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing
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Prerequisites & Facts

Distributed Deep Learning with Apache Spark

Course Topic

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University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Distributed Deep Learning with Apache Spark

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Distributed Deep Learning with Apache Spark
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Reviews

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School: Udemy
Topic: Apache Spark, Data Science, Development

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