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This project generates hand-written digits from the MNIST dataset using WGAN architecture. While debugged, a few lingering issues may remain, if you encounter any please submit them and they will be resolved. The sources and features of the project can be found in the wiki. Before use, one should verify that the network architecture is as-desired. This may be done with the GUI to the right of the number display. The "Default" button resets the network to hard-coded values which I have verified function. The "Reset" button sets the ACTIVE network to whatever architecture is displayed. In order to change which network is displayed, use the "Critic [1] or Generator [0]" checkbox. To begin training the network, press the "Train" button, after which you may use the "Clear" button to reset the average error and average percent correct value textboxes. In order to use the project on an alternative dataset, one must replace the MNIST files, then rewrite IO.FindNextNumber.
Features
- This project generates hand-written digits from the MNIST dataset
- Uses WGAN architecture
- Before use, one should verify that the network architecture is as-desired
- The "Reset" button sets the ACTIVE network to whatever architecture is displayed
- In order to use the project on an alternative dataset, one must replace the MNIST files
- In order to change which network is displayed, use the "Critic [1] or Generator [0]" checkbox
Project Samples
