3.3.3. Other Neural Network Architectures

Try these first

1. 1.

   What are the main components of a GAN?

   Hint

   Think about the two roles in creating and verifying data.

2. 2.

   What is the purpose of an Autoencoder?

   Hint

   Consider how data is processed and returned.

3. 3.

   What are GANs primarily used for?

   • A. Data classification
   • B. Data generation
   • C. Data encryption

   Hint

   Think about the context of what GN stands for.

4. 4.

   True or False: Autoencoders can only be used for supervised learning.

   • True
   • False

   Hint

   Consider how Autoencoders learn from data.

5. 5.

   Consider a scenario where you have a dataset of images and want to generate new images based on it using GANs. Describe the steps you would take to implement this.

   Hint

   Think about the iterative training process in GANs.

6. 6.

   Design an Autoencoder for a dataset of handwritten digits. What architecture would you use and how would you validate its performance?

   Hint

   Consider the architecture that minimizes loss in reconstruction.