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Module 2 of 2
Convolutional Neural Networks & Computer Vision
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0% complete1. Convolution Operations and Feature Maps+100 XP
Module 2/2 · Lesson 1/1
Convolution Operations and Feature Maps
deep-learning
intermediate
+100 XP
Convolution Operations
A convolution operation slides a filter (kernel) over an input feature map, computing dot products to produce output feature maps.
Key Parameters
- Kernel size: Spatial extent of the filter (3×3 most common)
- Stride: Step size when sliding (1 = every pixel, 2 = skip)
- Padding: Zeros added around input to control output size
- Channels: Number of filters = number of output channels