Computer Vision, Convolutional Network.
weights and fine-tune it on their specific task or dataset. Transfer learning is a key technique that builds upon pretrained models. Instead of discarding the learned knowledge entirely, transfer learning adapts the network’s weights to the new task. This is particularly useful when the target