Two DL Workflows on AWS Sagemaker - Design, Training, and Deployment

In this hands on lab we'll explore Amazon SageMaker -- a new service for enabling rapid development and deployment of AI workflows. We'll design and train two TensorFlow models, and deploy them to run on a real-time hosted endpoint in AWS. The first model will focus on classifying images from a fashion dataset and the second model will be able to detect anomalies in an unlabled time-series dataset. To ensure access students should create an AWS account prior to the lab.

Sr. Solution Architect & Data Scientist @ NVIDIA focusing on Deep Learning.