Collaborative Filtering, Matrix Factorization, Recommender Systems, Gradient Descent, Neural Networks.
self.V = torch.nn.Parameter(torch.zeros((num_items, K))) # Xavier initialization is a great way to intialize parameters torch.nn.init.xavier_uniform_(self.U) torch.nn.init.xavier_uniform_(self.V) # MSE using Pytorch self.MSE = torch.nn.MSELoss() # Optimizer for handling the gradient calculation and