Tips and tricks for Neural Networks

From augmentation to hyperparameter selection

Training neural networks is a complex procedure. Many variables work with each other, and often it’s unclear what works.

The following selection of tips aims to make things easier for you. It’s not a must-do list but should be seen as an inspiration. You know the task at hand and can thus best select from the following techniques. They cover a wide area: from augmentation to selecting hyperparameters; many topics are touched upon. Use this selection as a starting point…