This video explains why do we use max pooling layer in CNN i.e What is Pooling Layer in CNN and for what purpose it is used? It is very important layer from spatial invariance perspective if we want our CNN model to recognize an object in an image correctly even if that object has its features tilted, distorted, different light composition, the texture so it explains this concept using visual representation.
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#MaxPoolingLayer #CNN #ConvolutionNeuralNetwork
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