Build, Scale, and Deploy Deep Learning Pipelines with Ease - ERP Spain.com - España y América Latina

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 run in a distributed manner.

This webinar is the first of a series in which we survey the state of Deep Learning at scale, and where we introduce the  Deep Learning Pipelines, a new open-source package for Apache Spark. This package simplifies Deep Learning in three major ways:

-It has a simple API that integrates well with enterprise Machine Learning pipelines.

-It automatically scales out common Deep Learning patterns, thanks to Spark.

-It enables exposing Deep Learning models through the familiar Spark APIs, such as MLlib and Spark SQL.

In this webinar, we will look at a complex problem of image classification, using Deep Learning and Spark. Using Deep Learning Pipelines, we will show:

-how to build deep learning models in a few lines of code;

-how to scale common tasks like transfer learning and prediction; and

-how to publish models in Spark SQL.