weight decay and l2 regularization
arXiv preprint arXiv:1706.05350, 2017. Linear and logistic regression models are important because they are interpretable, fast, and form the basis of deep learning neural networks. Ridge regression is a special case of Tikhonov regularization in which all parameters are regularized equally. Keras Weight Decay Hack, How to Use Weight Decay to Reduce Overfitting of Neural Network in Keras. regularization_type: "L1" However, since in most cases weights are small numbers (i.e., -1 Security Threats In Healthcare,
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