Mastering Gradient Descent for Deep Learning and ML | Part 2 | Regression Problem Formulation

Опубликовано: 24 Февраль 2026
на канале: Pixagan AI
154
6

In this lecture, we build on Part 1 of the Gradient Descent lecture. We explain how multi-dimensional gradient descent works. We then set up a non-linear regression problem to be implemented in python and solved using gradient descent

This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.

#gradientdescent #optimization #deeplearning #artificialintelligence #machinelearning

Relevant Previous Videos
Part 1: Introduction to Gradient Descent :    • Mastering Gradient Descent for Deep Learni...  
Basics of Derivatives :    • Basics of Derivatives | A Review | Math fo...  
What is Chain Rule :    • What is Chain Rule | A Review | Math for AI