9.2: Using L1 and L2 Regularization in Keras and TensorFlow (Module 9, Part 2)

Опубликовано: 14 Октябрь 2024
на канале: Jeff Heaton

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Making use of L1 (ridge) and L2 (lasso) regression in Keras. Regularization helps to reduce overfitting by reducing the complexity of the weights. This video is part of a course that is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University in St. Louis

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