IGNOU MCS 224 2025 2026 - The following diagram represents a feed-forward neural network with on

Question

The following diagram represents a feed-forward neural network with one hidden layer:

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26 Dec 2025

Answer :

Word Count : 317

A feed-forward neural network with one hidden layer models complex input–output relationships by passing information in a single direction—from inputs, through weighted connections, to outputs. Each input node represents a feature, such as a measurement, pixel value, or encoded word. These inputs are multiplied by trainable weights, summed with a bias term, and sent to neurons in the hidden layer. The hidden layer applies a nonlinear activation function (commonly ReLU, sigmoid, or tanh), which enables the network to capture interactions that linear models cannot represent. During forward propagation, activations move sequentially from the input layer to the hidden layer and finally to the output layer. The output layer’s design depends on

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