1
Q
what is the difference between the output of a linear regression model and a softmax regression model?
A
linear regression - a scalar value that represents the prediction of the dependent variable based on the input features
softmax regression - a probability distribution over all possible classes, the predicted class is usually the one with the highest probability
2
Q
why must logits be passed to the softmax function?
A
3
Q
A
Neural Networks & Deep Learning
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