Question
The following diagram represents a feed-forward neural network with one hidden layer:
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 ____ __________ ______ ____ ________ _____ ____ ____ _____.
_______ _________ ____ _______ ______ ____ ___ __________ ____ __________ ___.
________ ____ _____ _______ ________.
____ ______ _____ ___ ____ _______ ______ ________ __________ _____ ___.
_________ _____ ________ ____ _____ __________ _____.
______ _________ ______ ___ ____ ________.
___ ____ ____ __________ _______ _____ _______ ______ _________ ____.
________ ______ _________ ____ __________ ___ _________ _____ ____.
___ ________ ____ _______ ______.
_____ __________ ________ _____ ___ _____.
______ ______ ____ ________ ______ _____ _________ _______ ________.
__________ ________ _____ _____ ________ _________ ________.
___ ______ _____ _________ ___ ________ _________.
________ ____ ________ ________ ______ ______ _________.
______ ________ ____ _______ _______ ____ _________ ___ ______.
_____ ___ ___ ___ ______ ____ _____ ______ __________ __________ ________.
________ _____ ________ __________ ________ ________ _______ __________ __________ ________ _____ ____.
______ __________ _______ ____ ___.
__________ ___ _____ _____ ___ ___ _________ ___ _____ _______.
______ _____ ____ ______ _______.
____ ______ __________ ______ ___ _____ _________ _______ __________ ___ _______ __________.
___ ________ ________ _____ _____ _______ _______ ________.
__________ _______ _____ _____ _________.
_______ _______ _______ _________ __________.
______ _________ _________ _____ ________ _____ ______ ______ _____ ________ ______ _______.
_______ ____ ___ _____ ________.
____ __________ ________ ________ _________ ___ ______.
__________ ____ __________ ___ ______.
_________ __________ ________ ___ ___ _______.
___ _______ _____ _________ _____.
______ ________ ________ _______ ___ ___ ___.
Get Full Answer on WhatsApp
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 ____ __________ ______ ____ ________ _____ ____ ____ _____.
_______ _________ ____ _______ ______ ____ ___ __________ ____ __________ ___.
________ ____ _____ _______ ________.
____ ______ _____ ___ ____ _______ ______ ________ __________ _____ ___.
_________ _____ ________ ____ _____ __________ _____.
______ _________ ______ ___ ____ ________.
___ ____ ____ __________ _______ _____ _______ ______ _________ ____.
________ ______ _________ ____ __________ ___ _________ _____ ____.
___ ________ ____ _______ ______.
_____ __________ ________ _____ ___ _____.
______ ______ ____ ________ ______ _____ _________ _______ ________.
__________ ________ _____ _____ ________ _________ ________.
___ ______ _____ _________ ___ ________ _________.
________ ____ ________ ________ ______ ______ _________.
______ ________ ____ _______ _______ ____ _________ ___ ______.
_____ ___ ___ ___ ______ ____ _____ ______ __________ __________ ________.
________ _____ ________ __________ ________ ________ _______ __________ __________ ________ _____ ____.
______ __________ _______ ____ ___.
__________ ___ _____ _____ ___ ___ _________ ___ _____ _______.
______ _____ ____ ______ _______.
____ ______ __________ ______ ___ _____ _________ _______ __________ ___ _______ __________.
___ ________ ________ _____ _____ _______ _______ ________.
__________ _______ _____ _____ _________.
_______ _______ _______ _________ __________.
______ _________ _________ _____ ________ _____ ______ ______ _____ ________ ______ _______.
_______ ____ ___ _____ ________.
____ __________ ________ ________ _________ ___ ______.
__________ ____ __________ ___ ______.
_________ __________ ________ ___ ___ _______.
___ _______ _____ _________ _____.
______ ________ ________ _______ ___ ___ ___.
Get Full Answer on WhatsApp
IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★