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Padding

Adding borders of zeros (or other values) around input to control output spatial dimensions in convolutions.

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3 stops · basics first
  1. Machine Learning ✓ understood

    Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.

  2. Neural Network ✓ understood

    A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information through weighted connections.

  3. Convolution ✓ understood

    A mathematical operation that applies filters/kernels to input data to extract features like edges, textures, and patterns.

  4. Padding · you are here ✓ understood

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Convolution
Padding

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Neural Networks Stride The step size by which a convolutional filter or pooling window moves across the input. Neural Networks Kernel A small matrix of weights used in convolutional layers to detect specific features or patterns in input data. Neural Networks Feature Map The output of applying a convolutional filter to an input, representing detected features at various spatial locations. Neural Networks Receptive Field The region of input that influences a particular neuron's output, growing larger in deeper layers of CNNs.