Knowledge transfer among multiple networks using their outputs or intermediate activations have evolved through manual design from a simple teacher-student approach to bidirectional cohort one. The major components of such knowledge framework involve the network size, number networks, direction, and loss function. However, because these factors are enormous when combined become intricately enta...