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Deep Learning on Apache® Spark™- Best Practices

Event Details

Deep Learning on Apache® Spark™- Best Practices

Time: September 27, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2xcima7
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Sep 6

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Event Description

Space is limited.

Reserve your Webinar seat now

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; and
  • Monitoring long-running jobs.

In this Data Science Central webinar we will demonstrate the techniques we cover using Google’s popular TensorFlow library. More specifically, we will cover typical issues users encounter when integrating deep learning libraries with Spark clusters.

Clusters can be configured to avoid task conflicts on GPUs and to allow using multiple GPUs per worker. Setting up pipelines for efficient data ingest improves job throughput, and monitoring facilitates both the work of configuration and the stability of deep learning jobs.

SpeakerTim Hunter, Software Engineer -- Databricks Inc.

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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