A technical report on convolution arithmetic in the context of deep learning.
The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution:
- [1] Vincent Dumoulin, Francesco Visin - A guide to convolution arithmetic for deep learning (BibTeX)
N.B.: Blue maps are inputs, and cyan maps are outputs.
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| No padding, no strides | Arbitrary padding, no strides | Half padding, no strides | Full padding, no strides |
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| No padding, strides | Padding, strides | Padding, strides (odd) |
N.B.: Blue maps are inputs, and cyan maps are outputs.
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| No padding, no strides, transposed | Arbitrary padding, no strides, transposed | Half padding, no strides, transposed | Full padding, no strides, transposed |
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| No padding, strides, transposed | Padding, strides, transposed | Padding, strides, transposed (odd) |
N.B.: Blue maps are inputs, and cyan maps are outputs.
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| No padding, no stride, dilation |