Regularization Part I

Summary

Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... This lecture motivates and derives Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ... If you suspect your neural network is over fitting your data. That is you have a high variance problem, one of the first things you ... In this video, we talk about the L1 and L2 XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep ... In this Python machine learning tutorial for beginners, we will look into, 1) What is overfitting, underfitting 2) How to address ... We talk about various approaches to handle generalization issue in NNs; namely, hyperparameter tuning and various ... We're back with another deep learning explained series videos. In this video, we will learn about Elastic-Net Regression is combines Lasso Regression with Ridge Regression to give you the best of both worlds. It works well ... Course Webpage: cmi.ac.in/~sourish/course_reg_clas.html Lecture 3 Contents: The problem of overfitting, Cost Function, Regularized Linear Regression, Regularized Logistic Regression, ...