Event Details

Deep Learning has shown tremendous success, yet it often requires a lot of effort to leverage its power. Existing Deep Learning frameworks require writing a lot of code to work with a model, let alone in a distributed manner. In this webinar we walk through how to train and use TensorFlow-based deep learning models at scale using Spark and Databricks.

Presented by
Sue Ann Hong, Software Engineer at Databricks, Siddarth Murching, Software Engineer at Databricks