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Assignment 1#1

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mvrieperry wants to merge 5 commits intomainfrom
assignment-1
Open

Assignment 1#1
mvrieperry wants to merge 5 commits intomainfrom
assignment-1

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@mvrieperry
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

What did you learn from the changes you have made?

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

How were these changes tested?

A reference to a related issue in your repository (if applicable)

Checklist

  • I can confirm that my changes are working as intended

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@tianyi21 tianyi21 left a comment

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Hi Marie,

Thank you for submitting your DL week 1 assessment. Please find my comments attached to each file.

Your A1 is complete. To revise your Lab1-3 submissions:

  • ⚠️: These issues refer to either incomplete or missing sections. Please revise the corresponding file and resubmit.

Thanks,
Tianyi [LS]

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⚠️ Please follow the instructions and complete the following section(s):

  • Questions: Try the following initialization schemes

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I have reviewed and approved your Lab1 submission. Please feel free to review the recordings and complete the remaining sections when you have a chance.
✅ Lab1 complete.

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✅ A1 complete.

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Please find my updated comments below. Your A1, Lab1, and Lab3 are now complete. Please revise and resubmit your Lab2 notebook.

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I have reviewed and approved your Lab1 submission. Please feel free to review the recordings and complete the remaining sections when you have a chance.
✅ Lab1 complete.

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💬 Exercises: Try modifying our neural network to improve recommendation: The given model template is the same as the one you have trained above. Please try to modify the given model template and include results of your experiment when you have a chance.
✅ Lab3 complete.

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@tianyi21 tianyi21 Feb 20, 2026

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⚠️ Please review the recordings and complete the implementation of LogisticRegression(), NeuralNet(), and generating all corresponding results in Lab2.

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3 participants