NinjaUnlikely6343

NinjaUnlikely6343 OP t1_j5vq6vj wrote on January 25, 2023 at 10:05 PM

Reply to comment by emad_eldeen in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

I've heard of it when I started delving into deep learning, but it seemed too complex for me at the time. I'll check it out!

NinjaUnlikely6343 OP t1_j5vps4g wrote on January 25, 2023 at 10:03 PM

Reply to comment by ChingBlue in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

Sweet! Thanks a lot!

NinjaUnlikely6343 OP t1_j5vkttj wrote on January 25, 2023 at 9:32 PM

Reply to comment by thatpretzelife in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

At neural networks specifically haha!

NinjaUnlikely6343 OP t1_j5udl0q wrote on January 25, 2023 at 5:10 PM

Reply to comment by PsecretPseudonym in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

Makes sense!

NinjaUnlikely6343 OP t1_j5tmucg wrote on January 25, 2023 at 2:14 PM

Reply to comment by thatpretzelife in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

Thanks for the advice! I'm actually already SSH tunneling to the immense computing resources at Compute Canada. It's still extremely long haha

NinjaUnlikely6343 OP t1_j5rjhvi wrote on January 25, 2023 at 1:35 AM

Reply to comment by suflaj in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

Thanks a lot! I'll try that and keep you posted

NinjaUnlikely6343 OP t1_j5r4d3x wrote on January 24, 2023 at 11:48 PM

Reply to comment by suflaj in Efficient way to tune a network by changing hyperparameters? by NinjaUnlikely6343

Thanks a lot for the detailed response! Didn't know you could use a portion of the dataset and expect approximately what you'd get with the whole set. I'm currently just testing different learning rates, but I thought about having a go at dropout rate as well.