MathWorks developers have purpose-built MATLAB’s deep learning functionality for engineering and science workflows. We understand that success goes beyond just developing a deep learning model.  Ultimately, models need to be incorporated into an entire system design workflow to deliver a product or a service to the market.

The aim of the session is to provide an overview of how MATLAB enables you to take advantage of disruptive technologies like deep learning. We will:

• Show where deep learning is being applied in engineering and science, and how it's driving MATLAB’s development.
• Demonstrate a workflow for how you can research, develop, and deploy your own deep learning application.
• Outline what MathWorks engineers can do to help support you achieve success with deep learning.

Technologies demonstrated include:

• Automating Ground Truth Image Labeling
• Training and Evaluating an Object Detector
• Generating optimized native embedded code​