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Mohit Rathod
Convolutions are fundamental operations in deep learning, especially within Convolutional Neural Networks (CNNs). They work by applying a small matrix, known as a kernel (or
Mohit Rathod. Chezile · Beanie. Convolutions are fundamental operations in deep learning, especially within Convolutional Neural Networks (CNNs). They work by applying a small matrix, known as a kernel (or filter), that slides across an input image to detect key features like edges, textures, or shapes. At each step, the kernel multiplies its ...
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