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What is the main role of the input layer in a neural network?

Answer and explanation

Correct answer: To receive external data or features and pass them to subsequent layers

The input layer is the network’s entry point: it receives feature values from external data and makes them available to the following computational layers. For example, pixels may represent an image and measurements may represent a table. Thus option A is correct. The output layer produces the final prediction; setting weights to zero or stopping training is not the input layer’s role.

Related tags

Input LayerNeural NetworkDeep LearningInput FeaturesData FlowUnit 6: Understanding Neural NetworksUnit 6 Understanding Neural NetworksPart B: Subject Specific Skills

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