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Showing content from https://github.com/vdumoulin/conv_arithmetic below:

vdumoulin/conv_arithmetic: A technical report on convolution arithmetic in the context of deep learning

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 animations

N.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 animations

N.B.: Blue maps are inputs, and cyan maps are outputs.

No padding, no stride, dilation

From the repository's root directory:

$ ./bin/generate_makefile
Generating 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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