Leveraging Knowledge Distillation to Enhance Computer Vision Models

Knowledge distillation is a powerful technique that enables the transfer of knowledge from a large and complex model to a more compact and computationally efficient model, allowing for the deployment of high-performing computer vision models in resource-constrained environments.