Homework 8: Neural Networks and Deep Learning

Deadline: 30 November 2026 (Mon), 23:00

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Questions

Answer the questions below to complete your homework.

1. Loss (1 point)

nn.MSELoss()

nn.BCEWithLogitsLoss()

nn.CrossEntropyLoss()

nn.CosineEmbeddingLoss()

2. Number of parameters (1 point)

896

11214912

15896912

20073473

3. Baseline training accuracy (1 point)

4. Baseline training loss standard deviation (1 point)

5. Augmented evaluation loss (1 point)

6. Augmented evaluation accuracy (1 point)