3-convnets-architectures

Modern Convolutional Neural Network Architectures

• AlexNet - Deep Convolutional Neural Networks

• VGG - Very Deep Convolutional Networks for Large Scale Image Recognition

• GoogLeNet(Inceptionv1) - Going Deeper with Convolutions

• ResNet - Deep Residual Learning for Image Recognition

• ResNeXt - Aggregated Residual Transformations for Deep Neural Networks

• Xception - Deep Learning with Depthwise Separable Convolutions

• DenseNet - Densely Connected Convolutional Neural Networks

• MobileNetV1 - Efficient Convolutional Neural Networks for Mobile Vision Applications

• MobileNetV2 - Inverted Residuals and Linear Bottlenecks

• EfficientNet - Rethinking Model Scaling for Convolutional Neural Networks

• RegNet - Designing Network Design Spaces

• ConvMixer - Patches are All You Need?

• ConvNeXt - A ConvNet for the 2020s

Fo more about these architectures, papers, references, and further resources, go back to main page.