Choosing and Customizing Loss Functions for Image Processing

By Medium - 2021-03-18

Description

Picture this: you’re standing high up a mountain with limited visibility and your goal is to find your way to the bottom. How would you accomplish this? One possible method would be to look around…

Summary

  • Picture this: Enter the Loss Function A loss function plays a key role when training (optimizing) ML models.
  • Classification Loss Functions: When you train your model in PerceptiLabs, the Loss tab on the statistics window shows you both the calculated loss during one epoch, and the average loss over all epochs, and this is updated in real-time as the model trains.

 

Topics

  1. Machine_Learning (0.28)
  2. Backend (0.18)
  3. NLP (0.17)

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