While you may not realize it, TinyML probably affects your life in some way on a daily basis. If you have a smartphone or IoT device that features voice activation, facial recognition, audio detection, or other functions that employ machine learning algorithms, you have TinyML to thank. In this course, instructor Archana Vaidheeswaran
guides you into the world of TinyML and shows you how you can process huge AI models right in the palm of your hand. Archana starts by teaching you how to identify if your ML/AI problem is a TinyML problem, then shows you optimization techniques to fit your deep learning models and illustrates multiple use cases. She explains quantization techniques, how to train a model using Tflite, how to deploy a TinyML model, and covers the entire TinyMLOps lifecycle. Archana finishes the course with a look at what’s in store for the future of TinyML, along with some resources you can use to continue your learning.
- Career Communities
- Identity Resources
- Career Planning
- Access Career Tools
- Build Skills at Denison Edge
- Build Your Resume and Cover Letter
- Search for an Internship or Job
- Network with Confidence
- Leverage Winter Break
- Participate in the Denison Internship Program
- Prepare for an Interview
- Plan for Graduate School
- Research Industries and Companies
- Utilize Financial Resources
- Alumni
- Academic Partnerships
- Meet The Team
- Student Employment