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@@ -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.
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