PyTorch custom loss function

Question

How should a custom loss function be implemented ? Using below code is causing error :

import torch
import torch.nn as nn
import torchvision
import torchvision.         


        

Answer 1

Solution

Here are a few examples of custom loss functions that I came across in this Kaggle Notebook. It provides an implementation of the following custom loss functions in PyTorch as well as TensorFlow.

Loss Function Reference for Keras & PyTorch

I hope this will be helpful for anyone looking to see how to make your own custom loss functions.

• Dice Loss
• BCE-Dice Loss
• Jaccard/Intersection over Union (IoU) Loss
• Focal Loss
• Tversky Loss
• Focal Tversky Loss
• Lovasz Hinge Loss
• Combo Loss