Implementation of Neural Network for Regression purpose using Mean squared error as Cost function.
The Neural Network consists of two input units(excluding bias unit),one hidden layer with two units and two output units.
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Implementation of Artificial Neural Network for Regression purpose using Mean squared error as Cost function.
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