L2 Regularization neural network in Python from Scratch | Explanation with Implementation

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set and struggle to make good predictions on test dataset. Overfitting in Deep Learning can be the result of having a very deep neural network or high number of neurons. With L2 Regularization Neural Network, we nullifying the effect of certain neurons, and thus, we create a simple network that will generate decision boundary that fits well in both training as well as test dataset. If our model is not overfitting, then we need not use L2 Regularization. But when our model is overfitting, only then we use L2 Regularization. ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 📕 Download the ASSIGNMENT and Implementation Code : https://github.com/Coding-Lane/L2-Regularization ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✔ Neural Network in Python from Scratch : https://www.youtube.com/watch?v=vtx1iwmOx10&t=284s&pp=sAQA ✔ Complete Neural Network playlist : https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ✔ Overfitting and Underfitting :https://www.youtube.com/watch?v=SOI39DEHGSk&t=0s ✔ Complete Logistic Regression Playlist : https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny ✔ Complete Linear Regression Playlist : https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Timestamp: 0:00 Video Agenda 0:59 Overfitting in Deep Learning 1:47 Why Overfitting occurs 3:52 L2 Regularization 5:58 L1 Regularization 6:40 L2 Regularization in Neural Network 9:15 L2 Regularization in Python 14:58 Changing value of Lambda ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ This is Your Lane to Machine Learning ⭐ ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Subscribe to my channel, because I upload a new Machine Learning video every week : https://www.youtube.com/channel/UCJFAF6IsaMkzHBDdfriY-yQ?sub_confirmation=1