In this video, we dive into Deep Learning fundamentals by exploring Linear Classifiers and the role of Regularization in improving model performance.
🔹 Topics covered:
* How to find the best values of weights (*W*)
* Loss function minimization and gradient descent
* The importance of *L1 & L2 regularization*
* Preventing overfitting with regularization techniques
This tutorial is perfect for students, researchers, and beginners in *Machine Learning & Deep Learning* who want to strengthen their foundation.
✨ Stay tuned till the end for practical insights on optimizing weights and building better models.
#DeepLearning #MachineLearning #LinearClassifiers #Regularization #AI
