M
E
N
U
Transfer learning (TL) is a method in machine learning. It involves reusing “knowledge” that a model has acquired while being trained to address a specific problem (A) to address a second, similar problem (B). The ability to use experience to address new problems is innate to the human condition. When applied to deep learning, transfer
Image annotation is a method of adding captions to images. It has emerged as an essential mode of communication in the digital era. Image annotation has many use cases in the modern-day workplace. There are ten types of image annotation and their use cases, which will be discussed in detail on this page under the