LogoGAN

This project is largely based on the Coursera guided project: "Generate Synthetic Images with DCGANs in Keras". Using the Tensorflow Keras API, this is a Deep Convolution Generative Adversarial Network (DCGAN) model implementation for generating new logo designs.

Dataset

The model was trained on the Large Logo Dataset. The dataset can be obtained from the following link: https://data.vision.ee.ethz.ch/sagea/lld/

References

• https://towardsdatascience.com/generative-adversarial-network-gan-for-dummies-a-step-by-step-tutorial-fdefff170391

• https://anderfernandez.com/en/blog/how-to-code-gan-in-python/