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. 2019 Apr 10;7:e6335. doi: 10.7717/peerj.6335

Figure 2. The structure of the deep convolutional neural network, which was applied to image classification.

Figure 2

The patches are propagated through the network, in which the consecutive convolutional and pooling operations are applied, thus the number of nodes is reduced downstream. Two final layers perform input classification. Heatmaps depict activations of the filters of respective layer of the network.