Regularization Methods for Machine Learning 2016
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Added2016-09-08 16:51:35
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Folderregularization_methods_for_machine_learning_2016
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Class 1 - Statistical Learning Theory-E1bIqR8Bqr0.mkv816.82MB
Class 2 - Tikhonov regularization and kernels-xevu1vRdX6w.mp4576.41MB
Class 3 - Early Stopping and Spectral Regularization-D4C0GfbV4kE.mkv508.79MB
Class 4 - Regularization for multi-task learning-FX9wIzyhGSA.mp4392.28MB
Class 5 - Sparsity based regularization-ItfAmoSZRJs.mp4647.77MB
Class 6 - Structured sparsity-uusYjnAhH98.mkv659.39MB
Class 7 - Dictionary learning-mqDzeVsiyig.mkv488.30MB
Class 8 - Deep learning-vRJllrpBao0.mp4484.25MB
lectures/lec3.pdf244.75kB
lectures/lec4.pdf5.91MB
lectures/lec5.pdf430.89kB
lectures/lec6.pdf238.18kB
lectures/lec7.pdf1.36MB
lectures/lec8.pdf4.60MB
lectures/lect1.pdf1.80MB
lectures/lect2.pdf522.21kB
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