Transposed Convolutions Explained: A Fast 8-Minute Explanation | Computer Vision
Transposed convolutions are a basic building block for many computer vision tasks like for example image segmentation. Some well-known deep learning models like U-Net are using transposed convolutions to do their magic.
Therefore I think it is worth understanding how transposed convolutions are calculated and what the transposed convolution step actually looks like.
Paper: https://arxiv.org/pdf/1603.07285v1.pdf
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