Introduction

In this blog post, we will discuss how to fine-tune a pre-trained deep learning model using PyTorch. Fine-tuning is a powerful technique that allows us to leverage the knowledge learned by a pre-trained model on a large dataset and apply it to a new task. This can save a significant amount of time and resources compared to training a model from scratch. The fine-tuned model achieved 92.34% accuracy on the test set.