The model and training method of multilayer feature extractor and decision rules for a malware traffic detector is proposed. The feature extractor model is based on a convolutional sparse coding network whose sparse encoder is approximated by a regression random forest model according to the principles of knowledge distillation. In this case. an algorithm of growing sparse coding neur... https://fitnessgravesyardes.shop/product-category/interface-board/