trying to compare neural network with no hidden layers with logistic regression
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Mathematically neural network with no hidden layers should be same as logistic regression. On a simple data X class labels Y I am calling patternnet[] and fitglm. The training data provided to train both models is same. When using both models on same test data different accuracy results are obtained. Unable to understand why even the training accuracy of both models is different.
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Greg Heath
2018-10-6
No hidden nodes default is the same as
LINEAR REGRESSION
NOT
LOGISTIC REGRESSION
For logistic regression, you have to replace the default linear output layer with a logistic layer.
Hope this helps.
Thank you for formally accepting my answer
Greg
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