What is transfer learning and why is it needed?

In this article, we will be discussing a state-of-the-art technique for building complex deep learning models using pre-trained models. We humans have an inherent ability to transfer our knowledge across different tasks. We utilize the knowledge that we acquire from one task to solve other similar tasks. The more related the task, the easier it is for us to transfer or cross-utilize our knowledge. Let's understand this with some examples: Conventional machine learning and deep learning algorithms are designed to work in isolation.