Simply put, a pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, you use the model trained on other problem as a starting point. For example, if you want to build a self learning car.

What is meant by Pretrained model?

Definition. A model that has independently learned predictive relationships from training data, often using machine learning.

How do you use a Pretrained network?

Apply pretrained networks directly to classification problems. To classify a new image, use classify . For an example showing how to use a pretrained network for classification, see Classify Image Using GoogLeNet. Use a pretrained network as a feature extractor by using the layer activations as features.