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A basic Generative Adversarial Network (GAN) model made on VS Code using Python and PyTorch, for generating new images of handwritten numbers. Uses the MNIST dataset.

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Callum-OP/Digits-Generator-GAN-Model

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Basic GAN model made using PyTorch for generating handwritten numbers.

This code was made with help from the Real Python GAN tutorial. https://realpython.com/generative-adversarial-networks/

Currently experimenting with different epochs and batch sizes to see how well it performs in different scenarios, the default was batch size 32 and 50 epochs, however this may take a long time to train.

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A basic Generative Adversarial Network (GAN) model made on VS Code using Python and PyTorch, for generating new images of handwritten numbers. Uses the MNIST dataset.

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