table

app.py

@@ -202,7 +202,7 @@ df = pd.DataFrame({
     "Class (Architecture)"  : ['UNet2DModel', 'UNet2DModel', 'Sequential', 'Sequential'], 
     "Dataset Examples"      : [60000, 1, 60000, 60000], 
     "Training Loops"        : [300, 100000, 90000, 90000], 
-    "Notes"                 : ['Similar architecture as Stable Diffusion, different training data', 'Toy model, purposed to store protected content', 'GANs are not as likely to store protected content', 'Attempting to increase copying']
+    "Notes"                 : ['Similar architecture as Stable Diffusion, different training data', 'Toy model, purposed to store protected content', 'GANs are not as likely to store protected content', 'less dropout, more copying?']
 }) 
 
 # Applying style to highlight the maximum value in each row