Convolutional Neural Networks

AlexNet

Introduced by Krizhevsky et al. in ImageNet Classification with Deep Convolutional Neural Networks

AlexNet is a classic convolutional neural network architecture. It consists of convolutions, max pooling and dense layers as the basic building blocks. Grouped convolutions are used in order to fit the model across two GPUs.

Source: ImageNet Classification with Deep Convolutional Neural Networks

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