Coursera Project Network의 Avoid Overfitting Using Regularization in TensorFlow 학습자 리뷰 및 피드백
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....
Avoid Overfitting Using Regularization in TensorFlow의 4개 리뷰 중 1~4