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 session aims 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 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 deep-learning application.
- Outline what MathWorks engineers can do to help support you in achieving success with deep learning.

Technologies demonstrated include:

- Feature engineering signal data
- Training and Evaluating a signal classifier
- Generating optimized native embedded code

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