readme fix

app.py

@@ -201,7 +201,6 @@ df = pd.DataFrame({
     "Model"                 : ['MNIST-diffusion', 'MNIST-diffusion-oneImage', 'MNIST-GAN', 'MNIST-GAN-noDropout'], 
     "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', 'less dropout, more copying?']
 })