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For questions related to fully convolutional networks (FCNs), which is formally described in the paper "Fully Convolutional Networks for Semantic Segmentation" (2015) by Jonathan Long et al. An example of an FCN is the U-net (introduced in the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" by Olaf Ronneberger et al.).

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Computational complexity of a CNN network

In the following network, the convolution operations of convolutional blocks are performed by three 1-D kernels with the sizes 8, 5, and 3 respectively along with stride equal to 1. The final network …
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