All Projects → llSourcell → Generative_adversarial_networks_live

llSourcell / Generative_adversarial_networks_live

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Generative_Adversarial_networks_LIVE

Overview

This is the code for this video by Siraj Raval on Youtube for the Intro to Deep Learning Nanodegree course with Udacity. We're going to build a Generative Adversarial Network capable of generating images using the MNIST handwritten character dataset as training data.

Dependencies

  • tensorflow

Usage

Run jupyter notebook in terminal and the code will pop up in the browser

Credits

Credits for the code go to jonbruner. I've merely created a wrapper to get people started.

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