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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
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Training my neural network to overfit my training dataset
To deliberately over fit neural network , give stopping threshold and error metric to zero and let the neural network run for huge number of iteration until zero error is reached .
And do not perform …