CNN Architecture: Types of Layers

Convolutional Neural Networks have several types of layers:- Convolutional layera “filter” passes over the image, scanning a few pixels at a time and creating a feature map that predicts the class to which each feature belongs.- Pooling layer (downsampling)reduces the amount of information in each feature obtained in the convolutional layer while maintaining the most important information (there are usually several rounds of convolution and pooling).- Fully connected input layer (flatten)takes the output of the previous layers, “flattens” them and turns them into a single vector that..........

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