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Coursera Project Network による Avoid Overfitting Using Regularization in TensorFlow の受講者のレビューおよびフィードバック

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コースについて

In this 2-hour long project-based course, you will learn the basics of using weight regularization and dropout regularization to reduce over-fitting in an image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that, after the training and regularization, will predict image classes of input examples with similar accuracy for both training and validation sets. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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Avoid Overfitting Using Regularization in TensorFlow: 1 - 2 / 2 レビュー

by tale p

Jun 26, 2020

good

by Zeynep R Ö

May 12, 2020

Not efficiently