![neural network - Why is the implementation of cross entropy different in Pytorch and Tensorflow? - Stack Overflow neural network - Why is the implementation of cross entropy different in Pytorch and Tensorflow? - Stack Overflow](https://i.stack.imgur.com/e6gKc.png)
neural network - Why is the implementation of cross entropy different in Pytorch and Tensorflow? - Stack Overflow
GitHub - AlanChou/Truncated-Loss: PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
![CrossEntropyLoss only calculates for the node of the class of the label but not others? - PyTorch Forums CrossEntropyLoss only calculates for the node of the class of the label but not others? - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/3X/a/f/af2b613b80b4e8ae82662225d948545c44e99f77.png)
CrossEntropyLoss only calculates for the node of the class of the label but not others? - PyTorch Forums
![Hinge loss gives accuracy 1 but cross entropy gives accuracy 0 after many epochs, why? - PyTorch Forums Hinge loss gives accuracy 1 but cross entropy gives accuracy 0 after many epochs, why? - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/2X/2/2ad4119a40ee6e24f006aabae0f6d0981a20a9cf.png)
Hinge loss gives accuracy 1 but cross entropy gives accuracy 0 after many epochs, why? - PyTorch Forums
![Hinge loss gives accuracy 1 but cross entropy gives accuracy 0 after many epochs, why? - PyTorch Forums Hinge loss gives accuracy 1 but cross entropy gives accuracy 0 after many epochs, why? - PyTorch Forums](https://discuss.pytorch.org/uploads/default/original/2X/4/4ac4609aee5df6b686796f7490dcd242f463fe5b.png)