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Convolutional neural network: Difference between revisions
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Upsampling blocks also have a transposed convolution or a bilinear upsample in the beginning. | Upsampling blocks also have a transposed convolution or a bilinear upsample in the beginning. | ||
The last layer is typically just a Conv2D with a possible | The last layer is typically just a <math>1 \times 1</math> or <math>3 \times 3</math> Conv2D with a possible sigmoid to control the range of the outputs. | ||
==Motivation== | ==Motivation== | ||