Closing Quizz

If Pix2Pix was used on food images, what could it do?

• Turn raw ingredients into cooked meals 🍔

• Turn a pizza into a burger

• Predict how burnt your toast will be

• Generate biryani flavors using AI

What does the Generator do in a Conditional GAN?

• Predicts the future 🌌

• Generates an image from noise

• Converts an input image to a new image

• Discriminates between real and fake images

What does the Discriminator do in Pix2Pix?

• Decides which image is better 🎨

• Classifies an image as real or generated

• Generates high-resolution images

• Extracts features from the Generated Image

In Pix2Pix, what type of model is primarily used for the Generator?

• VAE

• GAN

• U-Net

• CNN

What is the main purpose of Conditional GANs?

• To generate random noise

• To create images based on specific conditions

• To classify images

• To enhance image resolution

True or False: The Discriminator in Pix2Pix can also generate images.

• False

• True

If a GAN was trained to predict Sehri time, what could go wrong?

• It rings the alarm 30 minutes late – RIP fast

• It refuses to generate Sehri meals because it’s “not time-efficient”

• It learns to only recommend chai and parathas – no healthy options

• All of the above

Odd One Out – Which of these does NOT describe a GAN training problem?

• Mode collapse – Generates the same iftar meal every day

• Vanishing gradients – Forgetting what to cook mid-Ramadan

• Exploding gradients – Ammi making way too much food

• Overfitting – The same person is always late to Iftar

What would happen if AI predicted how fast people will run to the table when Iftar time hits?

• AI’s speed calculations would FAIL – it’s faster than physics allows

• Some break the sound barrier when the azan starts

• AI detects some moving at teleportation speed

• All of the above