/Face-Generation

Project from Deep Learning Nanodegree of Udacity

Primary LanguageHTMLGNU General Public License v3.0GPL-3.0

Face Generation

Project Overview

In this project, I defined and trained a DCGAN on a dataset of faces. The goal of this project is to get a generator network to generate new images of faces that look as realistic as possble. The image below is a result of the training:

Generated Faces

Project Instruction

Instruction

  1. Clone the repository and navigage to the downloaded folder. 
    	git clone https://github.com/Lynchez/Face-Generation
	cd Face-Generation
  2. Open the dlnd_face_generation.ipynb file. Of course, you can find HTML version of the file. 
    	jupyter notebook dlnd_face_generation.ipynb

Project Information

Contents

  • Pre-processed Data
  • Create a DataLoader
  • Define the Model
    • Discriminator
    • Generator
    • Initialize the weights of your network
    • Build complete network
  • Discriminator and Generator Losses
  • Optimizers
  • Training
  • Training Loss
  • Generator samples from training