[P] Losses Learned -- Optimizing Negative Log-Likelihood and Cross-Entropy in PyTorch (Part 1)

A little blog post to explain that the negative log likelihood loss, logistic regression loss, and binary cross-entropy loss are the same thing. Plus, a short discussion why using BCEWithLogits loss is numerically more stable than using BCELoss with probabilities.

[https://sebastianraschka.com/blog/2022/losses-learned-part1.html](https://sebastianraschka.com/blog/2022/losses-learned-part1.html)

cross-entropy entropy machinelearning negative part pytorch