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Project phase 1
Plan the work
State the goal, audience or user, and the evidence a strong result needs. Explain how Forward pass changes your plan.
Machine Learning with Python · Lesson 6 project
Create an overfitting diagnosis log
An epoch-by-epoch loss reading, the likely overfitting point, and one justified tuning experiment.
Lesson project · Training review
Create an overfitting diagnosis log
An epoch-by-epoch loss reading, the likely overfitting point, and one justified tuning experiment.
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Project phase 2
Create the deliverable
Given training and validation loss across epochs, mark where learning improves, where overfitting begins, and which change—capacity, regularization, data, or stopping—should be tested next.
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Project phase 3
Prove and improve
Use Backpropagation and Validation set to check the result. Record one piece of evidence, one correction, and one improvement you would make next.
Close the loop
Explain what changed.
After the checks pass, name one decision, one failure you corrected, and one improvement you would make next. That explanation is part of the project.