Implementation of Teacher-Student Model in PyTorch

Abdulkader Helwan
6 min readMar 18, 2023

With a pre-trained “teacher” network, teacher-student training is a method for accelerating training and enhancing the convergence of a neural network. It is widely used to train smaller, less expensive networks from more expensive, larger ones since it is both popular and effective. In a previous post, we discussed the concept of Knowlege distillation as the idea behind the Teacher-Student model. In this post, we’ll discuss the fundamentals of teacher-student training, demonstrate how to do it in PyTorch, and examine the results of using this approach. If you’re not…

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