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Training Logistic Regression with Cross-Entropy Loss in PyTorch
March 25, 2023, 8:47 a.m. | Muhammad Asad Iqbal Khan
In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the model didn’t converge during training and its accuracy was also significantly reduced. In the following, you will see what happens if […]
The post Training Logistic Regression with Cross-Entropy Loss in PyTorch appeared first on MachineLearningMastery.com.
accuracy classification converge cross-entropy deep learning with pytorch entropy error impact logistic regression loss mean pytorch regression series session training
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