This event is for anyone who wants to learn more about building machine learning applications at speed and scale.
In this event, you'll learn how to quickly add intelligence to any application with API-driven services that provide pre-trained models to enable out of the box computer vision, speech, language analysis, and chatbot functionality. You'll explore a variety of real world use cases to see how these services can add ML to your applications today. In the second half of the day you'll dive into building, training, and deploying machine learning models using popular frameworks such as Apache MXNet and TensorFlow. You will learn how to qualify framework decisions, explore neural network architectures, and build systems designed for training and inference at massive scale.