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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:
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 |
From the repository's root directory:
$ ./bin/generate_makefile
From the repository's root directory:
$ make all_animations
The animations will be output to the gif directory. Individual animation steps
will be output in PDF format to the pdf directory and in PNG format to the
png directory.
From the repository's root directory:
$ make
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