Inception architecture
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The Inception architecture is a deep convolutional neural network design that introduced parallel multi-scale processing modules to achieve state-of-the-art image recognition performance with improved computational efficiency.
Aliases (6)
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form: "GoogLeNet"
this entity surface form: "Inception-based architectures"
subject surface form: "torchvision"
this entity surface form: "GoogLeNet"
subject surface form: "torchvision"
this entity surface form: "InceptionV3"
this entity surface form: "Going Deeper with Convolutions"
this entity surface form: "Rethinking the Inception Architecture for Computer Vision"
this entity surface form: "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"