Загрузка страницы

How to use Adversarial Validation to Help Fix Overfitting

Join my Foundations of GNNs online course (https://www.graphneuralnets.com)! Adversarial Validation is a diagnostic tool to test whether your training and test datasets come from the same distribution. If not, it can help you find which variables are causing the problem.

Blog link: https://blog.zakjost.com/post/adversarial_validation/
Code: https://github.com/zjost/blog_code/tree/master/adversarial_validation

Discord server: https://discord.gg/xh2chKX
Mailing list: Click "Subscribe" at https://blog.zakjost.com/
Patreon: https://www.patreon.com/welcomeaioverlords

Music Attribution:
1st track: "Jazzy Frenchy" from Bensong.com.

Intro track: Elder - Legend

3rd track: Merry Bay by Ghostrifter Official | https://soundcloud.com/ghostrifter-official
Music promoted by https://www.free-stock-music.com
Creative Commons Attribution-ShareAlike 3.0 Unported
https://creativecommons.org/licenses/by-sa/3.0/deed.en_US

4th track: Pink Cadillac by tubebackr | https://soundcloud.com/tubebackr
Music promoted by https://www.free-stock-music.com
Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
https://creativecommons.org/licenses/by-nd/3.0/

Видео How to use Adversarial Validation to Help Fix Overfitting канала WelcomeAIOverlords
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
21 января 2020 г. 20:00:02
00:09:54
Яндекс.Метрика