What is Transfer Learning? -- Idiot Developer

Transfer Learning is a technique in machine learning where we reuse a pre-trained model to solve a different but related problem. It is one of the popular methods to train the deep neural network. It is generally used for image classification tasks where the amount of the dataset is small. In this article, we will go through what transfer learning is, how it works and the advantages it offers. Additionally, we will also cover the most common problems related to it.