Difference between revisions of "DCGAN"
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== Generating images using A "Deep Convolutional Generative Adversarial Network" == | == 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. |
Revision as of 13:27, 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.