Interest is growing in the Apache Spark community in using Deep Learning techniques and in the Deep Learning community in scaling algorithms with Apache Spark. A few of them to note include:
· Databrick’s efforts in scaling Deep learning with Spark
· Intel announcing the BigDL: A Deep learning library for Spark
· Yahoo’s recent efforts to opensource TensorFlowOnSpark
In this lecture we will discuss the key use cases and developments that have emerged in the last year in using Deep Learning techniques with Spark.