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BFCL: Before fully connected layer, AFCL: After fully connected layer.
After fully connected layer (AFCL) is the second approach.
In addition, one fully connected layer (FL) is used.
In both cases, D was a single fully connected layer.
Either way, when it's time to start getting results, the fully connected layer comes into play.
Dropout layer has been included after first fully connected layer to avoid overfitting.
The identification network consists of one CNN, one fully connected layer and one loss.
The reconstruction layer is constructed using a fully connected layer and can be denoted as h4.
Subsequent, fully connected layer performs a linear combination of the input vector with a weight matrix.
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First, many studies have shown that the convolutional activation-based features perform better than the fully connected layer-based features [24 26].
The most accurate result is provided when the convolutional layer Ψ C is directly connected with the fully-connected layer Ψ F. Its influence between other parameters is the same as the convolutional layers (Fig. 4 e).
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