How Neural Networks See the World: Convolution Math Explained with Pixels!
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How Neural Networks See the World: Convolution Math Explained with Pixels!
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Artificial Intelligence | AI on Instagram: "Convolutions are math operations commonly used in deep learning, specifically in convolutional neural networks (CNNs). They work by sliding a small matrix (grid of values), called a kernel or filter, over the input image to extract important features such as edges, textures, or shapes. At each position, the kernel performs an element-wise multiplication with the underlying pixels and sums the result to produce a single output value, forming a feature m
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