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Homework 8: Neural Networks and Deep Learning for Machine Learning Zoomcamp 2025

Due date: 2025-12-01T23:00:00+00:00 (local time)

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Question 1. Loss (1 point)

nn.MSELoss()

nn.BCEWithLogitsLoss()

nn.CrossEntropyLoss()

nn.CosineEmbeddingLoss()

Question 2. Number of parameters (1 point)

896

11214912

15896912

20073473

Question 3. Median of training accuracy for all the epochs (1 point)

0.05

0.12

0.40

0.84

Question 4. Standard deviation of training loss for all the epochs (1 point)

0.007

0.078

0.171

1.710

Question 5. Mean of test loss for all the epochs (1 point)

0.008

0.08

0.88

8.88

Question 6. Average of test accuracy for the last 5 epochs (1 point)

0.08

0.28

0.68

0.98

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