WebMay 26, 2024 · Regression with an FCNN. A "convolutional" neural network (CNN) contains one or more convolutional layers, in which inputs are neighborhoods of pixels, resulting in a network that is not fully-connected, but is suited to identifying spatial patterns. A fully convolutional neural network (FCNN) does not contain a fully-connected layer as output. WebAug 9, 2024 · FCNN cannot classify the documents as well as GCN. From the results above, it is clear that GCN significantly outperforms FCNN with macro average F1-score is only 55%. The t-SNE visualization plot of FCNN hidden layer representations is scattered, which means that FCNN can’t learn the features representations as well as GCN.
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FCNN: Fourier Convolutional Neural Networks - IJS
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