Deep Learning Pipelines Makes it Easy to Build, Scale and Deploy DL Models - Seguridad Mania.com - España y América Latina

Deep Learning has shown a 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. 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: 1. It has a simple API that integrates well with enterprise Machine Learning pipelines. 2. It automatically scales out common Deep Learning patterns, thanks to Spark. 3. 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.