Nov. 24, 2023, 10:38 a.m. | /u/SomeRestaurant8

Deep Learning www.reddit.com

I am a computer science undergraduate student, currently developing skills in deep learning. My current project involves training a facial emotion analysis model. I regularly make small changes to the architecture to improve the model's performance. Unfortunately, every change necessitates model retraining.

I'm curious if there is a way to evaluate a change without enduring hours of retraining.

analysis architecture change computer computer science current deep learning deeplearning emotion every impact model retraining performance project science skills small s performance training undergraduate waiting

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