1. Deep learning using rectified linear units (relu);Agarap,2018
2. Understanding of a convolutional neural network;Albawi,2017
3. Practical classification of different moving targets using automotive radar and deep neural networks;Angelov;IET Radar, Sonar & Navigation,2018
4. Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition;Bridle,1990
5. Xception: Deep learning with depthwise separable convolutions;Chollet,2017