Transfer learning is a technique where a pre-trained model is used as a starting point for a new task. Studies have shown that image caption models prepared using transfer learning perform better. Building any model from scratch requires a lot of data and computational resources, whereas transfer learning is much faster and more efficient. Inception V3 is a popular pretrained CNN model that has been widely used for image classification and object detection tasks.