Question: Experiment with GAN Task 1 : Implement and train a conditional Wesserstein GAN with CIFAR 1 0 dataset. Generate 2 5 new images belonging to

Experiment with GAN
Task 1: Implement and train a conditional Wesserstein GAN with CIFAR10 dataset. Generate 25 new images belonging to 'automobile' class. Report IS and FID scores.
Task 2: Implement and train a SNGAN with CIFAR10 dataset. Generate 25 new images. Report IS and FID scores.
Task 3: Implement and train a variant of SAGAN without spectral nornamization and TTUB with CIFAR10 dataset. Generate 25 new images. Report IS and FID scores.
Task 4: Implement and train a complete SAGAN with CIFAR10 dataset. Generate 25 new images. Report IS and FID scores.
Task 5: Explain your results.

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