vdumoulin/conv_arithmetic resource

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14690 stars · 2307 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A technical report and tutorial repository explaining convolution arithmetic for deep learning, with animated visualizations of convolutions, transposed convolutions, and dilated convolutions. It accompanies the arXiv paper 'A guide to convolution arithmetic for deep learning' and includes code to regenerate the animations.

Use cases

• understand how padding and strides affect convolution output shapes
• learn transposed convolution for upsampling in CNNs
• visualize dilated convolutions
• find a reference for convolution output size formulas
• teaching material for deep learning courses

When to choose

• you need clear visual explanations of convolution operations
• you want a citable technical reference on convolution arithmetic
• you are learning or teaching CNN fundamentals

When to avoid

• you need a production convolution library or implementation
• you want up-to-date coverage of modern architectures beyond convolutions

Facets

learning-resource · maturity stable

machine-learning deep-learning data-visualization documentation deep-learning machine-learning tutorials education python cross-platform convolutional-neural-networks technical-report animations transposed-convolution dilated-convolution latex

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