Transfer Learning: Fast Food Classification with PyTorch

Fast food classification has become an important task in the automated food delivery system. Machine learning has become popular with the growth of fast food chains and the need for accurate and efficient food recognition systems. In this blog, we will explore the use of transfer learning for fast food classification using PyTorch. Transfer learning is a technique that leverages pre-trained models to solve new tasks with limited data. We will discuss how to fine-tune a pre-trained model for fast food classification and the results obtained from this approach.