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Neural Networks for Nonlinear Regression & Classification
This package is specifically designed to address high-dimensional regression and surface fitting problems.
To tackle high-precision fitting tasks, it provides the BFGS method, which significantly outperforms
commonly used first-order optimizers in deep learning, such as ADAM and SGDM.
This allows the neural network to unleash its full potential.