madison-freeman / multiclass-classification

Designed a neural network with multi-class regression to recognize handwritten digits (0-9) and to represent complex models that form non-linear hypothesis. We implement a feedforward propagation for the neural network and use the weights from our previous repository https://github.com/madison-freeman/logistic-regression-model.

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Designed a neural network with multi-class regression to recognize handwritten digits (0-9) and to represent complex models that form non-linear hypothesis. We implement a feedforward propagation for the neural network and use the weights from our previous repository https://github.com/madison-freeman/logistic-regression-model.

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