Avoid Overfitting Using Regularization in TensorFlow に戻る
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
71件の評価
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.
人気のレビュー
フィルター：
Avoid Overfitting Using Regularization in TensorFlow： 1 - 4 / 4 レビュー
by Ishwari R
•2020年8月7日
please enable me to reset the deadlines as i was unable to complete..
by tale p
•2020年6月26日
good
by Ricardo D
•2021年1月30日
Good introduction to regularization techniques. It's nice to learn these techniques with a relevant, but simple, example code.
by Zeynep R Ö
•2020年5月12日
Not efficiently
Coursera Footer
