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Connections: Log Likelihood, Cross Entropy, KL Divergence, Logistic Regression, and Neural Networks

glassboxmedicine.com · published 7 December 2019

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https://en.wikipedia.org/wiki/File:Cat_November_2010-1a.jpg
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https://neurohive.io/en/popular-networks/vgg16/
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https://arxiv.org/abs/1512.03385
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https://arxiv.org/abs/1409.4842
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http://www.awebb.info/blog/cross_entropy
awebb.info
https://stats.stackexchange.com/questions/141087/why-do-we-minimize-the-negative-likelihood-if-it-is-equivalent-to-maximization-o
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https://en.wikipedia.org/wiki/Maximum_likelihood_estimation
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https://www.quora.com/What-are-the-differences-between-maximum-likelihood-and-cross-entropy-as-a-loss-function
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https://en.wikipedia.org/wiki/Cross_entropy
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https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence
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http://neuralnetworksanddeeplearning.com/chap3.html
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https://commons.wikimedia.org/wiki/File:Cat_and_dog.JPG
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https://peltarion.com/knowledge-center/documentation/modeling-view/build-an-ai-model/loss-functions/binary-crossentropy
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https://www.quora.com/Is-a-single-layer-feed-forward-neural-network-equivalent-to-a-logistic-regression-algorithm
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https://www.datasciencecentral.com/profiles/blogs/logistic-regression-as-a-neural-network
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https://stats.stackexchange.com/questions/297749/how-meaningful-is-the-connection-between-mle-and-cross-entropy-in-deep-learning
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https://github.com/rasbt/stat479-deep-learning-ss19/blob/master/other/pytorch-lossfunc-cheatsheet.md
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https://en.wikipedia.org/wiki/Connectome
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