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DATA MINING (BACKPROPAGATION NEURAL NETWORKS (Calculate gradient error of…
DATA MINING
BACKPROPAGATION NEURAL NETWORKS
Calculate gradient error of network
Algorithm
Input to Output Passing through hidden layers
Hidden layer
Output layer
Input Layer
Updation of the weights and biases
Initialization of weights
Feed Forward
BP of error
Multilayer
COMPREHENSIVE LEARNING
Set of Layer
Input
Output
Connections
Called the feed forward connections
every output layer
Feedbackward connection
Output layer
Each input layer
