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Basic Understanding __Convolutional Neural Networks Layers

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What is a Convolutional Neural Network: In deep learning Convolutional Neural Network (CNN or ConvNet) is a class of deep neural networks most commonly applied to analyse visual imagery. In simple deep learning recognize the object in an image using a CNN algorithm. Layers in Convolutional Neural Network: Input Layer: The pixels of the image will be fed as a matrix to the input layer Hidden Layer: The hidden layer contains the convolutional layer, ReLU layer and Pooling.     Convolutional layer - Performs convolution operation to detect the patterns in the image                                                  using the Matrix filter     ReLU layer              - Applied to convolution layer to get a rectified feature map of image     Pooling  layer    ...