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Deep Convolutional Generative Adversarial Network trained on the CelebA dataset to generate images of new and realistic human faces

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sdonatti/nd101-project-face-generation

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Udacity Deep Learning Nanodegree

Generate Faces

Build a pair of Convolutional Neural Networks and make them compete against each other in order to generate realistic faces.

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Requirements

  1. Download and install Anaconda Python
  2. Create and activate a Conda environment
  3. Install PyTorch and torchvision
conda install pytorch torchvision -c pytorch

Set-up

Clone the project repository

git clone http://github.com/gdonatti/nd101-project-face-generation.git

Install required Python packages

cd nd101-project-face-generation
conda install --file requirements.txt

Launch the project Jupyter Notebook

jupyter notebook dlnd_face_generation.ipynb

License

This project is licensed under the MIT License

Acknowledgments

Udacity Deep Learning Nanodegree

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Deep Convolutional Generative Adversarial Network trained on the CelebA dataset to generate images of new and realistic human faces

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