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Avoid Overfitting Using Regularization in TensorFlow(으)로 돌아가기

Coursera Project Network의 Avoid Overfitting Using Regularization in TensorFlow 학습자 리뷰 및 피드백

4.8
별점
75개의 평가

강좌 소개

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....

최상위 리뷰

필터링 기준:

Avoid Overfitting Using Regularization in TensorFlow의 4개 리뷰 중 1~4

교육 기관: Ishwari R

2020년 8월 7일

교육 기관: tale p

2020년 6월 26일

교육 기관: Ricardo D

2021년 1월 30일

교육 기관: Deleted A

2020년 5월 12일