Convolution Layers

← Back to Convolutional Neural Networks

Apply learnable filters/kernels across the input to produce feature maps. Each filter detects a specific pattern (edges, textures, shapes). Parameters: filter size, stride, padding, number of filters.

Related

• Pooling (downsamples feature maps)
• Residual Connections (used in modern CNN architectures)

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deep-learning cnn convolution