2019/12/09
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// Lasso Regression - R Statistics Blog
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// Topographic _ Regularized Feature Learning in Tensorflow [ Manual Backprop in TF ]
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// regression - Why L1 norm for sparse models - Cross Validated
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References
# L1
# Lasso Regression
Tibshirani, Robert. "Regression shrinkage and selection via the lasso." Journal of the Royal Statistical Society: Series B (Methodological) 58.1 (1996): 267-288.
http://www.stat.ucla.edu/~sczhu/courses/ucla/stat_232b/chapters/LASSO.pdf Lasso Regression - R Statistics Blog
https://www.rstatisticsblog.com/data-science-in-action/lasso-regression/
Topographic _ Regularized Feature Learning in Tensorflow [ Manual Backprop in TF ]
https://towardsdatascience.com/topographic-regularized-feature-learning-in-tensorflow-manual-backprop-in-tf-f50507e69472
regression - Why L1 norm for sparse models - Cross Validated
https://stats.stackexchange.com/questions/45643/why-l1-norm-for-sparse-models
l1正则与l2正则的特点是什么,各有什么优势? - 知乎
https://www.zhihu.com/question/26485586
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