Transfer Learning, Machine Learning, Computer Vision, Mobilenetv2, Convolutional Network.
Transfer Learning Interpretation Transfer learning consists of taking features learned on one problem and leveraging them on a new, similar problem. For instance, features from a model that has learned to identify raccoons may be useful to kick-start a model meant to identify tanukis. Raccoon and