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Lecture 10 - Artificial Neural Network - Data Mining
Description: Classification by Backpropagation : “ What is backpropagation?” Backpropagation is a neural network learning algorithm. The neural networks field was originally started by psychologists and neurobiologists who sought to develop and test computational analogs of neurons. Roughly speaking, a neural network is a set of connected input/output units in which each connection has a weight associated with it. During the learning phase, the network learns by adjusting the weights so as to be able to predict the correct class label of the input tuples. Neural network learning is also referred to as connectionist learning due to the connections between units.
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