We have finally wrapped up with Phase I and along with it, a number of key goals.
GAN code is finally merged, and the
DCGAN code has been debugged for the
MNIST dataset. Now the only thing remaining to be done is to debug the test for the
CelebA dataset, and the PR can be merged thereafter. Also, then we can upload the code to the models repository, though for now all the code is hosted within mlpack itself, as this is a secondary goal.
This week we got some promising results with the
GAN code on the 10,000 image subset and the full 70,000 image set of
MNIST for you to feast your eyes on:
For the next week, we will be focussing on implementing the support for batch sizes and optimizer separation for
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