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Now that you know what the abbreviation stands for, let's unpack **Convolutional Neural Networks** a little more. What makes CNNs tick? At their core, CNNs use a series of layers to analyze data. These layers include convolution layers, pooling layers, and fully connected layers. Each layer has a specific job to do, and together they allow the network to extract increasingly complex features from the input data.
