学生对 Coursera Project Network 提供的 Avoid Overfitting Using Regularization in TensorFlow 的评价和反馈
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....
1 - Avoid Overfitting Using Regularization in TensorFlow 的 4 个评论（共 4 个）