Transfer Learning Loss Functions
Simon discusses how the choice of loss function impacts transfer learning. Using Imagenet as an example, he explains how certain loss functions lead to more specialized representations, affecting transferability to other tasks. Fine-tuning the entire network can mitigate these issues, highlighting the importance of selecting the right loss function for training.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
Related Questions
What is the role of loss functions in machine learning?
What is the role of loss functions in machine learning as discussed in the episode 819: PyTorch: From Zero to Hero — with Luka Anicin and the clip Neural Network Dynamics?
What is the role of loss functions in machine learning as discussed in the episode 819: PyTorch: From Zero to Hero — with Luka Anicin and the clip Deep Learning Dynamics?