ScaleDown is an Open-Source Neural Network Optimization framework that aims to reduce the difficulty in optimizing and deploying models to TinyML devices. We do this while providing a framework-agnostic API that supports commonly used deep learning frameworks. As new optimization techniques are invented, we study them and add their implementation to our framework so that hobbyists, researchers, and industry practitioners can use them in their projects. Finally, at ScaleDown, we believe in progressing the field by doing research, giving free education, and training budding hardware and software engineers in TinyML. To that end, we conduct study groups and workshops, publish blogs, and are working on two free TinyML books.
This talk will be our first of the study group involving :
1. Introduction to ScaleDown
2. Current Popular Frameworks in TinyML
3. TinyMLOps System
4. How ScaleDown is helping to bridge the gap
5. How can you get involved?
Schedule
Timezone: PDT
Introduction to ScaleDown: An Open Source Initiative
Archana VAIDHEESWARAN, Data Scientist
DHL Express
Archana VAIDHEESWARAN, Data Scientist
DHL Express
Archana works as a Data Scientist at DHL Express.
Archana loves dabbling in TinyML i.e applying machine learning models to small devices with low power and memory requirements. She is currently running the ScaleDown project.
After work, you can usually find Archana at Women Who Code, helping to build analytics dashboards for online events.
Schedule subject to change without notice.