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Machine Learning with Python · Lesson 5 project

Draw and explain a prediction network

A labeled network with inputs, weights, bias, neuron, output, and a clear explanation of what training changes.

Lesson project · Model diagram

Draw and explain a prediction network

A labeled network with inputs, weights, bias, neuron, output, and a clear explanation of what training changes.

0%0 of 3 checks
1
Project phase 1

Plan the work

State the goal, audience or user, and the evidence a strong result needs. Explain how Neuron changes your plan.

2
Project phase 2

Create the deliverable

On paper, draw a network that predicts a home price from four features. Label inputs, weights, bias, neuron, and output, then explain what training changes.

3
Project phase 3

Prove and improve

Use Weight and Layer 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.

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