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Binary Logistic Regression

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Preview of Theoretical Analysis of Linear Models for Meta-Learning: Shallow vs Deep Architectures
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Theoretical Analysis of Linear Models for Meta-Learning: Shallow vs Deep Architectures (arnold21a-supp.pdf)

1.37 MBEN 10 pages
It includes an analytic solution for 1D linear regression, detailing the gradient calculation and comparing performance between shallow (`ˆy = cx`) and deep (`ˆy = abx`) models
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You can download PDF versions of the user's guide, manuals and ebooks about Binary Logistic Regression, you can also find and download for free A free online manual (notices) with beginner and intermediate resources.