All Questions
4 questions
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Why don't I get the same result as with tensorflow's method when I write my own expression?
I'm learning logistic regression and I want to calculate what is the value of the cross entropy loss function during minimizing it via gradient descent, but when I use tensorflow's ...
- 124
1
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0
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How is error calculated in a simple logistic regression neural network?
Below is the following dataframe reporting the results of training a dataset on a binary classification problem:
columns a and b represent x and y respectively and the structure of the neural network ...
- 302
101
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3
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How to choose cross-entropy loss in TensorFlow?
Classification problems, such as logistic regression or multinomial
logistic regression, optimize a cross-entropy loss.
Normally, the cross-entropy layer follows the softmax layer,
which produces ...
- 53.8k
0
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1
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Does binary log loss exclude one part of equation based on y?
Assuming the log loss equation to be:
logLoss=−(1/N)*∑_{i=1}^N (yi(log(pi))+(1−yi)log(1−pi))
where N is number of samples, yi...yiN is the actual value of the dependent variable, and pi...piN is the ...
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