Fine-tuning Custom Model

Instead of training a new image classification model from scratch, we can build on an existing model. This process is called fine-tuning a custom model. Fine-tuning is a method that applies transfer learning to repurpose a model for other tasks. It’s usually a lot cheaper and faster to fine-tune an existing model than to start over with a new one. For example, we can train an initial model for 10 classes with open-source ...