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Generate synthetic faces using Generative Adversarial Network (GAN). In this project, here defined and trained a DCGAN on a dataset of faces. The goal is to get a generator network to generate new images of faces that look real but don't exist in reality.

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Generate fake faces of human using Generative Adversarial Network (GAN)

CSE 465 Deep Learning (Spring 2020)

In this project, here defined and trained a DCGAN on a dataset of faces. The goal is to get a generator network which will generate new images of faces that looks like celebrity faces who do not exist.

Get the data

The dataset that is used in this project will be found in this link:

https://s3.amazonaws.com/video.udacity-data.com/topher/2018/November/5be7eb6f_processed-celeba-small/processed-celeba-small.zip

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Generate synthetic faces using Generative Adversarial Network (GAN). In this project, here defined and trained a DCGAN on a dataset of faces. The goal is to get a generator network to generate new images of faces that look real but don't exist in reality.

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