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Implementation of the Perceptron learning algorithm using stochastic gradient descent and batch gradient descent with mean square error as cost function on a single layer neural networks which can be able to classify a stream of input data to one of a set of predefined classes. Using the iris data in both training and testing processes.
ShroukReda/Single-Layer-Perceptron
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Implementation of the Perceptron learning algorithm using stochastic gradient descent and batch gradient descent with mean square error as cost function on a single layer neural networks which can be able to classify a stream of input data to one of a set of predefined classes. Using the iris data in both training and testing processes.
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