Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...

Inverse problems involve the recovery of unknown parameters or signals from indirect and often noisy measurements. Such problems are typically ill-posed in the sense that small perturbations in the ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...