WebNational Center for Biotechnology Information WebFeb 9, 2024 · Among them, \(\gamma\) and \(\beta\) are learnable parameters at the BN level to restore the features learned by the original network. 2.1.4 Fully connected layer. In a fully connected network, all features are spliced into 1-D features as input to the fully connected network. The output of fully connected layer can be obtained by weighting the ...
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