With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

Deep neural networks (DNN) are computationally heavy models with a huge number of functional and complex connections 1,2. Data flows in DNNs are translated into massive physical instructions that run ...

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 ...