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A neural network implementation using Eigen for linear algebra calculations

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neural-network

An implementation of a feedforward neural network. Eigen is used for linear algrebra calculations. Tests are implemented using Catch.

The example in /examples trains a neural network to recognize images of handwritten digits, and reaches an accuracy of around 93%. The training data is from the MNIST data base of handwritten digits, which can be found here.

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A neural network implementation using Eigen for linear algebra calculations

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