Scaling laws under different task complexities
||Scaling laws under different task complexities|
||Kevin Smith <firstname.lastname@example.org>|
||Kungliga Tekniska högskolan|
||2023-11-01 – 2024-05-01|
Our aim in this project is to investigate how deep neural networks perform when faced with increasing problem complexities in image classification tasks. Our study will address an overlooked question in deep learning literature, that is, how does the scaling laws change under different task complexities?