Authors

Subscribe:.rss.atom.json.md

Publishes 1 feed

• TinyML - Tiny Machine Learning at UPenn

  15 posts · theirs

Lately

• Tutorial 1.1 Gradient Descent

  TinyML - Tiny Machine Learning at UPenn · 2023-01-24

• 2.5 First Neural Network

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 2.4 Minimizing Loss

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 2.3 Thinking about Loss

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 2.2 The Machine Learning Paradigm

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 6.2 Responsible AI

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 2.1 Challenges for TinyML (Part D) - ML Model Compression

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 1.7 Challenges for TinyML (Part C) - Machine Learning Models

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 1.6 Challenges for TinyML (Part B) - Embedded Systems Software

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 1.5 Challenges for TinyML (Part A) - Embedded Systems Hardware

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 1.4 How do we enable TinyML?

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

• 1.3 What is Tiny Machine Learning?

  TinyML - Tiny Machine Learning at UPenn · 2022-08-17

Everything on this page was read from markup xLAB for Safe Autonomous Systems published — a rel="me" link, an h-card, or the feed’s own author element. Nothing was inferred from anywhere else. To correct or remove it, get in touch. Machine-readable: JSON