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MLP

Full implementation of a fully connected neural network from scratch with SGD and Adam optimizers. The project was tested on a binary classification problem where we want to identify a specific type of particle. Auxiliar functions are supply to test with different kinds of preprocessing such as standardization, normalization or principal component analysis.

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Fully connected neural network implement from scratch

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