2) 30 Points Think of the DCGAN using a 7x7 mask for the celebA dataset

2) 30 Points Think of the DCGAN using a 7x7 mask for the celebA dataset. a. How would you set up the problem to select the activation functions and optimizers for this using a genetic algorithm? b. Describe how the computation speed of this model can be improved, or if a DCGAN is the appropriate method to use. c. What is an alternate model that can run faster with better results? 
3. 40 Points Describe how you can do hyperparameter tuning with genetic algorithms. Use the MNIST dataset and its classification accuracy as the example model. a. What are some of the fitness functions for this problem? b. Describe your genotype and phenotype space for this problem. c. Do the same for your project.