Deep Learning Toolkit for Splunk
Level
The Deep Learning Toolkit for Splunk allows you to integrate advanced custom machine learning systems with the Splunk platform. It extends Splunk’s Machine Learning Toolkit with prebuilt Docker containers for TensorFlow 2.0, PyTorch and a collection of NLP libraries. By using predefined workflows for rapid development with Jupyter Lab Notebooks the app enables you to build, test (e.g. using TensorBoard) and operationalise your models with Splunk. You can leverage GPUs for compute intense training tasks and flexibly deploy models on CPU or GPU enabled containers. The app ships with various examples that showcase different machine learning tasks like classification, regression, forecasting, clustering and NLP. This allows you to tackle advanced machine learning use cases in Splunk’s main areas of IT Operations, Security, IoT, Business Analytics and beyond.
Presented by
Diamond Sponsor
Elite Sponsors
Gold Sponsor
Supporting Sponsors
Premier Exhibitors
Exhibitors
Innovators
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
sponsorships@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires