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Found 2 papers, 2 papers with code
Regression as Classification: Influence of Task Formulation on Neural Network Features
Neural networks can be trained to solve regression problems by using gradient-based methods to minimize the square loss.
Bayesian Optimization for Parameter Tuning of the XOR Neural Network
When applying Machine Learning techniques to problems, one must select model parameters to ensure that the system converges but also does not become stuck at the objective function's local minimum.
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