Python PyTorch – backward() Function - GeeksforGeeks The backward() method in Pytorch is used to calculate the gradient during the backward pass in the neural network If we do not call this backward() method then gradients are not calculated for the tensors
Backward Slash Symbol The backward slash symbol "\" is primarily used in computing and programming as an escape character
PyTorch Backward Function Explained: A Beginners Guide backward() traverses the computation graph in reverse order, starting from the loss It applies the chain rule of calculus to calculate the gradient of the loss with respect to each tensor in the graph that has requires_grad=True These gradients are stored in the grad attribute of each tensor