Robotics, Embedded & Hardware · reproduction

tinyml-efficient-dl

Self-study labs based on MIT 6.5940, covering pruning, quantization, neural-architecture search, and efficient deep-learning techniques.

TI
Repositoryappleweiping/tinyml-efficient-dl
Statusactive
Demo evidencenone
Last updated2026-07-03

Contribution

What this record demonstrates

Self-study reproduction based on the named public course or source material; upstream teaching materials remain attributed in the repository.

Technology and topics

Pythoncsdiyefficient-deep-learningmit-6540model-compressionpruningquantizationtinyml

No public demo is currently available.