Re-basin

Re-basin is an advanced neural network optimization technique designed to accelerate the convergence of models to a global optimum by re-adjusting the network parameters. This technology enhances the model's generalization and robustness through effective transformations in the parameter space, thereby achieving higher performance and stability in various application scenarios. Re-basin is not only applicable to the training of deep learning models but also plays a significant role in transfer learning and model fine-tuning tasks, significantly improving the adaptability and efficiency of the models.