ElongatedMuskrat122
ElongatedMuskrat122 t1_iv2527b wrote
Reply to comment by Aggravating-Shake289 in Machine learning with kotlin? [D] by Aggravating-Shake289
Okay then you need to find a machine learning library? So Google ML library JVM…
ElongatedMuskrat122 t1_iv23y51 wrote
Well first off, you need to know what methods you’re using.
If you’re trying to build your own library, just port SKlearn
ElongatedMuskrat122 t1_iurk0kv wrote
Reply to [R] Is there any work being done on reduction of training weight vector size but not reducing computational overhead (eg pruning)? by Moose_a_Lini
Might be a bit overkill, but, instead of weight reduction, have you considered changing the architecture completely? I can’t find it so someone maybe can link it below, but, I read an article on using reinforcement learning to decide on an architecture for a neural network. Theirs was designed to just be accurate, however, you could take a similar approach while also adding a parameter to minimize overall size of the network.
Like I said, not really pruning as much as it is about overall size reduction
ElongatedMuskrat122 t1_iv2stms wrote
Reply to comment by Aggravating-Shake289 in Machine learning with kotlin? [D] by Aggravating-Shake289
Well all the libraries you’re looking for are going to have documentation. If you’re looking to learn ML concepts though, there’s plenty of very good YouTube videos from StatQuest