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ml-neural-network

Machine Learning Project @UniPi

Exam done

Suggestions from the professor

  • K-fold is needed
  • The model is in underfitting, it can be improved

TO USE

  • pandas : può essere utile per il preprocessing dei dati (mean removal, decorrelation, covariance equalization)
  • numpy : per operazioni tra matrici e vettori così da avere un codice più pulito

TO DO

  • backpropagation
  • regularization
  • momentum
  • k-fold cross validation
  • grid search for hyperparams
  • MEE, MSE and others (i.e accuracy, etc...)
  • plots
  • on-line, batch, mini-batch training