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.