Conv9 necessity in U-net implementation

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

Hi

I see that after expansion path, a Conv2D is applied to the output. (I mean right before applying the final Conv2D which ends to a tensor of num_classes channels. )

in the figure of the U-net architecture I don’t see such layer. I mean after expansion path, the final Conv2D is applied.

So what is the reason of conv9?

thanks in advance.

1 Like
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Please see this post.