Improving Deep Neural NetworksRochak AgrawalBlockedUnblockFollowFollowingJun 19Deep Neural Networks are the solution to complex tasks like Natural Language Processing, Computer Vision, Speech…
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Regularization for Neural Networks with Framingham Case Study
Regularization for Neural Networks with Framingham Case StudyL1, L2, elastic net, and group lasso regularizationRachel Lea Ballantyne DraelosBlockedUnblockFollowFollowingJun 8In this post,…
Continue ReadingReview: Shake-Shake Regularization (Image Classification)
Review: Shake-Shake Regularization (Image Classification)Concept of Adding Noise to Gradient During Training, Outperforms WRN, ResNeXt and DenseNet. Sik-Ho TsangBlockedUnblockFollowFollowingMay 13In…
Continue ReadingWhat is regularization in machine learning?
Hence, the model will be less likely to fit the noise of the training data and will improve the generalization…
Continue ReadingWhy AdamW matters
Adams does exactly that for you: Big steps when the gradients do not change much and small steps when they…
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