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.
Transposed convolution animationsN.B.: Blue maps are inputs, and cyan maps are outputs.
No padding, no strides, transposed Arbitrary padding, no strides, transposed Half padding, no strides, transposed Full padding, no strides, transposed No padding, strides, transposed Padding, strides, transposed Padding, strides, transposed (odd) Dilated convolution animationsN.B.: Blue maps are inputs, and cyan maps are outputs.
No padding, no stride, dilationFrom the repository's root directory:
$ ./bin/generate_makefileGenerating the animations
From the repository's root directory:
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:
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