Neural networks

Input, hidden and output layers; weights and activation

Class 10 · Guided experience

VISUAL CONCEPT MAP · NETWORK

Neural networks

Follow information as it moves through layers, connections and learned weights.

Input / evidence Processing Output / insight

Mission briefing

Trace information through a simple neural network.

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

✦ NEURAL NETWORK PLAYGROUND INTERACTIVE MODEL

Weight 0.60Bias 0.20

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.

Concept understanding · /2Experiment and method · /3Analysis and interpretation · /3Conclusion and reflection · /2

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.