In this video, we will understand what is Fully Connected Layer in CNN and what is the purpose of using Fully Connected Layer.

Fully Connected Layer in CNN is an important part of CNN architecture. The purpose of fully connected layer is to classify the detected features into a category and also to learn to associate detected features to a particular label.

Fully Connected Layer is just like an artificial Neural Network, where every neuron in it, is connected to every other neuron in the next layer and the previous layer.

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Timestamp:
0:00 Intro
1:59 What is Fully Connected Layer in CNN
3:37 Summary

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