Glossary: Computer Vision Basics
TinyNet
A small convolutional network made of four blocks of conv, BatchNorm, ReLU and max pooling, followed by global average pooling and a linear head. It has 98,436 weights when set to four classes.
Glossary: Computer Vision Basics
A small convolutional network made of four blocks of conv, BatchNorm, ReLU and max pooling, followed by global average pooling and a linear head. It has 98,436 weights when set to four classes.