Abstract: Powerful machine learning capabilities are available as Cloud AI services. You can embed off-the-shelf models for vision and natural language processing into your applications with APIs. AutoML can help you build a custom model with a minimum of code. If you want to build a custom model yourself, there are serverless tools to develop, train, and deploy your model.
In this session, we will discuss why and when to use AI services versus training your own model. We will cover differences in data requirements, performance, integration, and ease of use. We will also demonstrate how to use ML APIs as well as how to built a custom model with TensorFlow in the cloud.
Bio: Coming Soon!