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:
