Sum Product Networks? about neuralnetworks HOT 5 OPEN

Thank you very much for your interest! To answer your questions:

1. I was originally planning to implement Tensor Stacking Networks next. However SPNs look equally promising, so I might as well start with them.
2. Please check out the develop branch, which contains the latest sources (and it's relatively stable now), including Java 8 migration - the new lambda's and streams are used throughout the project. I have not yet switched to the latest version of Aparapi, which supports HSA and lambdas, but I plan to do so in the near future.

from neuralnetworks.

Thanks,
One last question: did you implement drop-out as part of the learning? This
seems to be a very effective trick.

/Hristo Stoyanov
On Apr 19, 2014 1:50 AM, "Ivan Vasilev" [email protected] wrote:

Thank you very much for your interest! To answer your questions:

1. I was originally planning to implement Tensor Stacking Networks next.
   However SPNs look equally promising, so I might as well start with them.
2. Please check out the _develop_https://github.com/ivan-vasilev/neuralnetworks/tree/developbranch, which contains the latest sources (and it's relatively stable now),
   including Java 8 migration - the new lambda's and streams are used
   throughout the project. I have not yet switched to the latest version of
   Aparapi, which supports HSA and lambdas, but I plan to do so in the near
   future.

—
Reply to this email directly or view it on GitHubhttps://github.com//issues/17#issuecomment-40864354
.

from neuralnetworks.

I haven't implemented it yet, but I plan to do so.

from neuralnetworks.

I just added experimental support for dropout in fully connected layers trained with backpropagation.

from neuralnetworks.

Thanks, I will check it out!

from neuralnetworks.