# name
Regularization of a neural network for binary classification

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Serrano Moral, Ma. Ángeles (María Ángeles)

# metadata.dc.description[].value
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutora: M. Ángeles Serrano Moral

# metadata.dc.description.abstract[].value
Neural networks are complex non-linear models used to learn representations of data with multiple
levels of abstraction. In this work, we introduce the basic notions of a neural network model, explaining the training process and generalization capabilities. In particular, to avoid overfitting to the training data, we study the L2 regularization method. Finally, an application of 2D vector classification has been developed to illustrate the concepts

# metadata.dc.title[].value
Regularization of a neural network for binary classification