The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. This webinar, based on the experience gained in assisting customers with the Databricks Unified Analytics Platform, will present some best practices for building deep learning pipelines with Spark.
Rather than comparing deep learning systems or specific optimizations, this webinar will focus on issues that are common to deep learning frameworks when running on a Spark cluster, including:
•Optimizing cluster setup
•Configuring the cluster
•Ingesting data
•Monitoring long-running jobs
Speaker: Tim Hunter, Software Engineer — Databricks Inc.
Hosted by: Bill Vorhies, Editorial Director — Data Science Central
