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The bulk of the remaining U-Net operations (16%) are dense matrix multiplications due to the self-attention blocks. Convolutional and batch matrix multiplication layers comprise over 99.9% of the four ...
Pooling Layers Following the convolutional layers, pooling layers perform strategic data reduction, preserving essential information while minimizing computational requirements.
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