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CNN – Why We Add Fully Connected Layer In CNN?
CNN – Why We Add Fully Connected layer In CNN? Syllabus: Why Fully Connected Layer Is Added? Why Fully Connected Layer Is Added To CNN Adding a fully connected (FC) layer in a Convolutional Neural Network (CNN) serves several critical purposes. It allows the network to perform classification or regression by combining the extracted features from previous layers into a final output. Here’s why the fully connected layer is important: Example Of Fully Connected Layer: Advantages Of Fully Connected Layer: Limitation Of Fully Connected Layer: Conclusion:
