What Is a Neural Network?

Lesson goals

• Inputs move through layers
• Weights encode relationships
• Outputs represent predictions

Core idea

Understand neurons, connections, and weights without heavy mathematics.

1. Inputs move through layers: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Weights encode relationships: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Outputs represent predictions: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “What Is a Neural Network?.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “What Is a Neural Network?” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?