Deep Learning with Apache Spark Solutions

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: TensorFlow and Keras which focuses on the pain  points of Convolution Neural Networks. As a result, you’ll have the  expertise to train and deploy efficient Deep Learning models on Apache  Spark.

Packt’s Video Learning Paths are a series of individual video products  put together in a logical and stepwise manner such that each video  builds on the skills learned in the video before it.

This Course is a fast–paced guide to implementing practical hands–on  examples, streamlining Deep Learning with Apache Spark. You’ll begin  with understanding practical Machine Learning and Deep Learning concepts  to apply built–in Machine Learning libraries within Spark. Explore  libraries that are compatible with TensorFlow and Keras. You’ll create  and visualize word vectors using Word2vec, also create a movie  recommendation engine using Keras. Finally, you’ll implement practical  hands–on examples streamlining Deep Learning with Apache Spark  Solutions.

By the end of this course, you’ll implement practical hands–on examples  with over 55 recipes that streamline Deep Learning with Apache Spark.