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Common architectures
An overview of commonly used deep learning encoder network architectures, including LeNet, VGG, ResNet and Google Inception
How and why are network architectures chosen?
Many different CNN encoder architectures have been proposed, in this video we mention just a few of the most common, and important to the development of deep learning.
These include:
- LeNet: LeCun et al 1998
- VGG: Simonyan and Zisserman 2014
- Google Inception: Szegedy et al 2014
- ResNet: Kaiming He et al 2015
