ng this up is an excellent target. I used knowledge distillation to train a large, <em>teacher</em> network with 19 <em>residual blocks</em> (each consisting of two convolutional layers with a <em>skip-connection</em>) and 256 convolution filters in parallel with a small, <em>student</em> network with 8 residual blocks and 128 convolution filters. The teacher learns directly from the training data, but the student learns from a combination of the training data and the teacher's knowledge (see Figure 12). Th