Implementing Soft Nearest Neighbor Loss in PyTorch
The class neighborhood of a dataset can be learned using soft nearest neighbor lossIn this article, we discuss how to implement the soft nearest neighbor loss which we also talked about here.Representation learning is the task of learning the most salient features in a given dataset by a deep neural network. It is usually an implicit task done in a supervised learning paradigm, and it is a crucial factor in the success of deep learning (Krizhevsky et al., 2012; He et al., 2016; Simonyan et al., 2014). In other words,…