Early Stopping In Neural Networks | End to End Deep Learning Course
Channel: CampusX
Date: 2022-05-02

Early stopping is a method in Deep Learning that allows you to specify an arbitrarily large number of training epochs and stop training once the model performance stops improving on the validation dataset.

Digital Notes for Deep Learning: https://shorturl.at/NGtXg

Code - https://colab.research.google.com/drive/1JG6PCAa5A0-CLOcKhugqU4uyZXWNjtKP?usp=sharing

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================

📱 Grow with us:
CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official
My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789
Discord: https://discord.gg/PsWu8R87Z8

👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!

💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!