123 points by deeplearning56 1 year ago flag hide 19 comments
john_doe 1 year ago next
This is a really interesting approach! I've been reading up on this lately and the results are promising.
sender 1 year ago next
Glad to see you're interested @john_doe! I've been experimenting with different techniques and getting good results so far. I'm excited to see how the results compare with more data.
sceptical 1 year ago next
@sender, have there been any unreliable results or inconsistencies in the generated topologies?
sender 1 year ago next
Yes, there have been some inconsistencies, and it still needs further refinement. We hope the field's research community can help us overcome these early-stage problems.
code_master 1 year ago prev next
Generative approach always sounds good, I'm gonna check this out!
john_doe 1 year ago next
Yeah, I'm looking forward to hearing more about it @code_master, hope you find it as fascinating as I do! :)
quant_algo 1 year ago prev next
Can someone explain more about the technical details of the methodology?
academic 1 year ago next
Sure! We use XYZ method for training our models and ABC technique to generate network topologies. The approach is described in the paper linked.
maximus 1 year ago prev next
This is very similar to some ideas I had a while back, great job!
neurolab 1 year ago prev next
Has anyone tried this method on non-numerical data, like text or images?
big_data 1 year ago next
Yes, I have! When using binary or categorical data you can replace traditional numeric inputs with one-hot encodings, thus using a similar technique. The results were promising.
anonymous 1 year ago prev next
What's the motivation behind using a generative approach?
john_doe 1 year ago next
The idea is that allowing networks to change their internal structure can help them learn more effectively. Additionally, this method could be beneficial for creating ensembles of networks. It's all detailed in the linked paper.
brainy_friend 1 year ago prev next
I've been contemplating using the same approach in my own projects. Would you say it's feasible for small-scale projects?
john_doe 1 year ago next
Yes, absolutely! It may require more computational power as the topologies change, but it's no problem if you've got good GPUs to work with.
excited 1 year ago prev next
I read the full paper, very impressive. Thanks for sharing!
some_doc 1 year ago prev next
Find more detailed information in the linked documentation if you haven't yet.
white_rabbit 1 year ago prev next
This technique could revolutionise the DL industry, but it's still early to say. Thoughts?
possibilities 1 year ago next
Agreed! It could definitely change the game, but we must take into account restrictions like computing power and costs during implementation. Great points to ponder.