We explore two situations of the fully-connected layer (fc6), as shown in Table 1, either to preserve the 128-neuron fc layer or to cut off it. The output of the last fully-connected layer is fed to a 10-way Softmax classifier, which is a generalization of Logistic Regression to ...
The MLP contains two hidden layers, of which the neuron numbers are 20 and 30, respectively. Besides this, the parameters of KNN and the other parameters of MLP are the default in the package. The two methods are applied to the previous three datasets under the conditions of 3, 5 and ...
Hyper-sausage coverage function neuron model and learning algorithm for image classification. Pattern Recognit. 2023, 136, 109216. [Google Scholar] [CrossRef] Miran, S.; Akram, S.; Sheikhattar, A.; Simon, J.; Zhang, T.; Babadi, B. Real-time tracking of selective auditory attention from...
Therefore, every single neuron of a specified kernel searches the same form in other input-image parts. The pooling layers decrease the network size. Furthermore, these layers efficiently decrease the network sensitivity to image distortions, scales, and shifts along with shared weights and local ...