WebJan 27, 2024 · A typical CNN has the following sequence of CNN layers. We have an input image using multiple filters to create various feature maps. Each feature map of size (C, C) is pooled to generate a (C/2, C/2) output (for a standard 2×2 pooling) The above pattern is referred to as one Convolutional Neural Network layer or one unit. WebMay 1, 2024 · In deep learning, a convolutional neural network ( CNN/ConvNet) is a class of deep neural networks, most commonly applied to analyze visual imagery. Now when we think of a neural network we think about matrix multiplications but that is not the case with ConvNet. It uses a special technique called Convolution.
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