TinyML and Efficient Deep Learning Computing Lecture 5

Properties
authors	Song Han
year	2023
url	https://www.dropbox.com/scl/fi/eos92o2fgys6gk0gizogl/lec05.pdf?rlkey=2hohvi8jcvjw3f8m8vugfa2mz&e=1&dl=0

Content:
1. Reviews numeric datatypes (floating point, etc)
2. Learns basic concept of quantization
3. Introduces three types of common neural network quantization:
- K-Means-based Quantization
- Linear Quantization
- [[Binary and Ternary Quantization|Binary and Ternary Quantization]] (will be covered on Lecture 6)