Learner Reviews & Feedback for Avoid Overfitting Using Regularization in TensorFlow by Coursera Project Network
About the Course
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 - 3 of 3 Reviews for Avoid Overfitting Using Regularization in TensorFlow
By Ishwari R
Aug 07, 2020
please enable me to reset the deadlines as i was unable to complete..