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Implement practical hands-on examples with over 55 recipes that streamline Deep Learning with Apache Spark
An excellent training about Data Science
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. Packts 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. Youll 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. Youll create and visualize word vectors using Word2vec, also create a movie recommendation engine using Keras. Finally, youll 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.
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