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DISCOVERY STUDIO / MACHINE LEARNING / CLASS 11–12 ENRICHMENT
Machine Learning · EXPERIMENT 34

Neural network building blocks

Neurons, weights, bias and activation

Class 11–12 enrichment · Guided experience
VISUAL CONCEPT MAP · ETHICS

Neural network building blocks

Explore how choices about data and model design affect people and outcomes.

Input / evidence Processing Output / insight
GROUP AGROUP BFAIRNESS · PRIVACY · TRANSPARENCY

Mission briefing

Trace a simplified neuron with two inputs.

Explore the concept, change an input, observe the result and explain what it means.

✦ NEURAL NETWORK PLAYGROUND INTERACTIVE MODEL
x₁x₂x₃ŷINPUTHIDDENOUTPUT
Weighted signal 0.80Neuron active

✎ Observation log

Record what you observed, what changed and one limitation.

CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.

Teacher review · Practical rubric

Suggested assessment framework. Teacher may adjust marks to suit the class and task.

Teacher rubric score: 4 / 10

Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.

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