AI engineering glossary · Computer vision
What is resNet?
ResNet: Residual Network, a CNN family built from blocks with residual connections, available in depths such as 18, 34, 50, 101 and 152 layers. It won ImageNet 2015 and remains a common backbone and baseline.
ResNet: an example
ResNet-50 is often used as the default pretrained backbone when fine-tuning on a new image dataset.
Related terms
- Residual connection
- Pretrained backbone
- Bottleneck block
More Computer vision terms
Where you learn it
ResNet is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.