Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
If we have a single large dataset D, and partitioned into A and B and put on devices.
I make two replicas of M1 and M2 from a same model M and also with same initial weights(same seed). I put these on the above two devices and train them separately.
How do I combine(if it’s the word) these two models’ experience into a single one(like a model which has learned the entire data D)?
submitted by /u/MasterInternet
[link] [comments]