👉 Unransomed is a concept in the field of machine learning and computer vision. It refers to a type of neural network architecture that uses pre-trained weights to directly predict the output of an input without explicitly training on the target class labels. This approach can be used for tasks such as image classification, object detection, and speech recognition, where the model is trained on labeled data. In other words, unransomed networks are a type of neural network architecture that uses pre-trained weights to directly predict the
