What are Pre-trained Models?
A pre-trained model is a machine learning (ML) model that has already been trained on a large dataset for a specific task. It has learned extensively from this data, so when you use it, you don’t have to start from scratch. These models are often used as a foundation for developing new ML models because they come with initial weights and biases that can be fine-tuned for similar tasks. This means you only need to teach the model the specific things you need, allowing it to help you much faster and more efficiently.