Machine Learning, Deep Learning, Pytorch, Python, Artificial Neural Network.
value), and if cos(x1, x2) < 0 loss will be 0 (minimum value). When to use it? + Learning nonlinear embeddings + Semi-supervised learning + Where similarity or dissimilar of two inputs is to be measured. Check out this post for plain python implementation of loss functions in Pytorch.