Chevron Left
Zurück zu Avoid Overfitting Using Regularization in TensorFlow

Bewertung und Feedback des Lernenden für Avoid Overfitting Using Regularization in TensorFlow von Coursera Project Network

4.8
Sterne
75 Bewertungen

Über den Kurs

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....

Top-Bewertungen

Filtern nach:

1 - 4 von 4 Bewertungen für Avoid Overfitting Using Regularization in TensorFlow

von Ishwari R

7. Aug. 2020

von tale p

26. Juni 2020

von Ricardo D

30. Jan. 2021

von Deleted A

12. Mai 2020