Sampling preprocessing algorithm based on an anscent transformation for training of neural network
Data samples usually represent large numerical arrays besides large arrays cause long and more difficult neural network training process. Thus, the task is to reduce the amount of data analyzed. This article describes an approach to solving this issue. A binary image classifier is considered as an example.