A deep learning based computer network intrusion detection(NID) system The model is trained on the NSL-KDD dataset DataToCsv.py takes in the file name and creates a csv file containing the data, with 6 features selected. NID_1.py trains a neural net to on this training data and tests it on the testing data. Depending on the location of the NSL_KDD files, changes might have to be made to both the files.