Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks
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Convolutional Neural Network (CNN) in Deep Learning - GeeksforGeeks
Dec 25, 2020
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AI | Machine Learning | Tech on Instagram: "In convolutional neural networks (CNNs), filters can be visualized as 3D blocks that slide across the input data. For example, if the input has 3 channels (such as an RGB image), a filter could be a 3x3x3 block (a 3x3 filter that spans the depth of 3 channels). As the filter moves, it performs element-wise multiplication with the input values across all channels and sums the results to produce a single value in the output feature map. Each filter learn
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A Physicist’s blog on Instagram: "In a neural network, convolution is a process used to extract features from an image, and it plays a key role in recognizing objects like the digit “6.” When an image (such as a handwritten digit in a scanned paragraph) is passed into a convolutional neural network (CNN), small filters (also called kernels) slide over the image, performing a mathematical operation that emphasizes certain patterns like edges, curves, or loops — features that are common in a “6.”
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