DCGAN

Generating images using A "Deep Convolutional Generative Adversarial Network"

In this tutorial we will be using a modified version of Soumith Chintala's torch implementation (https://github.com/soumith/dcgan.torch) of DCGAN - Deep Convolutional Generative Adversarial Network (https://arxiv.org/pdf/1511.06434.pdf) with a focus on generating images.

Getting started

Because training a DCGAN requires a lot of computing power, head over to the interaction station and sit behind the computer with the 'ml machineq' sticker. This computer runs a Ubuntu installation with (almost) every dependencies required to run some machine learning scripts/programs.

DCGAN

1: Log in to the computer by using the 'interactionstation' account.

username: interactionstation
password: interactionstation

2: Start a new 'terminal' window by pressing the windows key (⊞) and typing 'term', followed by pressing 'enter'

⊞
term
enter

3: Navigate to the folder where the DCGAN script is stored (/home/interactionstation/dcgan.epoch) by typing