Difference between revisions of "DCGAN"
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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. | 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. | ||
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| + | == DCGAN == | ||
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| + | 1: Log in to the computer by using the 'interactionstation' account. | ||
| + | password: interactionstation | ||
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| + | 2: | ||
Revision as of 14:29, 16 January 2018
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.
password: interactionstation
2: