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This project aim to learn how to create and train GAN. To do so I used a data set found on kaggle that contains URL to 40 000 thousands film posters. The aim of this project is to generate film poster based on exemple.
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Examples of poster generated using this code are available here : https://drive.google.com/drive/folders/1GEUgWgGp7Izy_z1MvPA9j-D1kWDo0Nl9?usp=sharing.
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A minimal version of the code is also available in this notebook (to run it you'll need to have the image data on a google drive): https://colab.research.google.com/drive/15jbzsYr7d1zCSy4x3ljyuhHuG-YchchY
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Code structure is mainly inspired from : https://github.com/roatienza/Deep-Learning-Experiments/blob/master/Experiments/Tensorflow/GAN/dcgan_mnist.py
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Great explanation could be find here : https://towardsdatascience.com/gan-by-example-using-keras-on-tensorflow-backend-1a6d515a60d0
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Gan to generaatet film poster from a 40.000 posters dataset
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