Binary compatible yes. Star the repo and watch it in the next few days. Example apps are on the way. I plan on implementing a full "easy to use" machine learning lib around this.
I have a lot more example usage in each of the tests. Test coverage was a higher priority above the documentation, but example usage is there. I'm more than happy to answer emails around the usage of the library as well. I also take feature requests.
I plan on implementing convolutional nets, recursive neural nets and some other ones based around that same structure; That includes the scale out versions with akka for easy multi threading or clustering ( I have built in service discovery with zookeeper among other things in there.
Comments
Very interesting!
Is that Word2Vec implementation you have roughly equivalent of the Google version[1]?
Any examples of how to use deeplearning4j generally?
[1] https://code.google.com/p/word2vec/
Binary compatible yes. Star the repo and watch it in the next few days. Example apps are on the way. I plan on implementing a full "easy to use" machine learning lib around this.
Edit: Poke around in the tests, Here's an example of it learning a compressed version of MNIST: https://github.com/agibsonccc/java-deeplearning/blob/master/...
I have a lot more example usage in each of the tests. Test coverage was a higher priority above the documentation, but example usage is there. I'm more than happy to answer emails around the usage of the library as well. I also take feature requests.
I plan on implementing convolutional nets, recursive neural nets and some other ones based around that same structure; That includes the scale out versions with akka for easy multi threading or clustering ( I have built in service discovery with zookeeper among other things in there.