@@ -12,12 +12,14 @@ The plot of the losses has a unexpected behavior: the generator loss increases i
# Part 2
### Question 1
## Questions
### Question 1:
Knowing the input and output images will be 256x256, what will be the dimension of the encoded vector x8 ?
Since this parameter is hard coded, the size of x8 will always be 512x512
Since this parameter is hard coded, the size of x8 will always be 1x1. This is due to the fact that each encoder layer decreases the size by a factor of 2, and since we have 8 encoder layer (including `inconv`), we have $256/2^8 = 1$.
### Question 2
### Question 2:
As you can see, U-net has an encoder-decoder architecture with skip connections. Explain why it works better than a traditional encoder-decoder.
The standard encoder-decoder architecture has a limitation that the decoder may not be able to reconstruct details from the compressed image, leading to information loss. Thus, the U-net introduces skip connections that allow the decoder to better recover details and spacial information from the source image.