Face Generator

Generative Adversarial Networks(GANs)

This project aims at successfully generating human faces using Generative Adversarial Networks(GANs)

Installing / Getting started

A quick introduction of the minimal setup you need to get the classifier up & running.

git clone https://github.com/abhigyan2311/face-generator.git
cd face-generator
conda env create -f environment.yml
conda activate deeplearning
jupyter notebook dlnd_face_generation.ipynb

Features

The classifier notebook implements the following methods:

• Successfully generates faces based on the following celebrity dataset: Celeb-DS

Hyperparameters

• Batch Size - 128
• Number of epochs - 30
• Learning Rate - 0.0002
• Beta 1 - 0.5
• Beta 2 - 0.999
• Discriminator convolution dimension - 64
• Generator convolution dimension - 64
• Latent vector size(Z) = 100

Contributing

"If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome."

Licensing

"The code in this project is licensed under Apache 2.0 license."