Architecture  We train the Tough-Teacher, and the Tolerant-Teacher networks independently using the Hard-landmarks and the Soft-landmarks respectively utilizing the L2 loss:  ![teacher_arch](https://github.com/aliprf/KD-Loss/blob/master/samples/teacher_arch-1.jpg?raw=true)   Proposed KD-based architecture for training the Student network. KDLoss uses the knowledge of the previously trained Teacher networks by utilizing the assistive loss functions ALossT ou and ALossT ol, to improve the performance the face alignment task:  ![general_framework](https://github.com/aliprf/KD-Loss/blob/master/samples/general_framework-1.jpg?raw=true)   