Distributed Deep Learning with Apache Spark

Online Course

Udemy

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Prerequisites & Facts
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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

Apache Spark, Data Science, Development

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.

Udemy

Distributed Deep Learning with Apache Spark

provided by Udemy

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