dragons to colour - Want to get fancy? You can use the MNIST dataset to generate new images of handwritten digits using Generative Adversarial Networks (GANs). GANs are a type of neural network architecture that consists of two main components: a generator and a discriminator. The generator creates new images, and the discriminator tries to distinguish between real images from the dataset and the generated images. You can use GANs to explore different variations of handwritten digits and even create unique and novel digit images that look realistic. Experiment with different GAN architectures to see how the generated images change.
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