![Intro to Deep Learning -- L09 Regularization [Stat453, SS20]](https://i.ytimg.com/vi/KwaxQKiLkFY/mqdefault.jpg)
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Batch Normalization faculty.pucit.edu.pk/nazarkhan/teaching/ Batchnorm at testing time. Is Batchnorm legit? faculty.pucit.edu.pk/nazarkhan/teaching/ Early Stopping Data Augmentation Label Smoothing Dropout ... Capabilities of polynomials Restriction of coefficients reduces representational power Everything is noisy Overfitting and ... Primer on ML 00:00:00 Powers of polynomials 00:04:50 Everything is noisy 00:05:05 Overfitting vs. Generalization Backpropagation in CNNs (Part2). faculty.pucit.edu.pk/nazarkhan/teaching/ This is a video summary for Chapter 5 (Part 2) of the Hi everyone today i'll be presenting our recent work on heteroskedastic and imbalanced So um that next topic then of trying to make neural networks work better where i had doing new deep effective Sebastian's books: sebastianraschka.com/books The lecture slides are available at: ... Purdue University | ECE 595ML |
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