Join MathWorks for a lunch-n-learn technical seminar showcasing how MATLAB and Simulink can help integrate AI models into the component and system level simulation stages of the design process, and how they can help deploy the resulting control algorithms into the real-world systems. We will use an example where deep-learning and machine learning can be used to create a Virtual Sensor algorithm.
Lunch will be provided!
Highlights include:
- Designing and training machine learning components with Statistics and Machine Learning Toolbox as well as deep learning components with Deep Learning Toolbox
- Importing trained TensorFlow models into mATLAB
- Integrating machine learning and deep learning models into Simulink for system-level simulation
- Generating library-free C code and performing PIL tests
- LSTM Model Compression using projection