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Exercise

Loss function of random scores

If the neural network predicts random scores, what would be its loss function? Let's find it out in PyTorch. The neural network is going to have 1000 classes, each having a random score. For ground truth, it will have class 111. Calculate the loss function.

Instructions

100 XP
  • Import torch and torch.nn as nn
  • Initialize logits with a random tensor of shape (1, 1000) and ground_truth with a tensor containing the number 111.
  • Instantiate the cross-entropy loss in a variable called criterion.
  • Calculate and print the loss function.