YoVDO

Back Propagation

Offered By: Great Learning via YouTube

Tags

Neural Networks Courses Supervised Learning Courses

Course Description

Overview

Dive deep into the fundamental algorithm behind neural network training in this comprehensive video lecture on Back Propagation. Explore the intricacies of this supervised learning technique, from its basic principles to its practical applications in minimizing error and fine-tuning network weights. Learn about forward and backward propagation, various types of Back Propagation networks, and key points to consider when implementing this algorithm. Discover the advantages and disadvantages of Back Propagation, equipping yourself with essential knowledge for effective neural network development. Conclude with a summary that reinforces your understanding of this crucial machine learning concept.

Syllabus

Introduction.
Agenda.
What is Back Propagation?.
How does the Algorithm work.
What is Back & Forward propagation.
Types of Back Propagation Network.
Key Points of Back Propagation.
Advantages of Back Propagation.
Disadvantages of Back Propagation.
Summary.


Taught by

Great Learning

Related Courses

Machine Learning
University of Washington via Coursera
Machine Learning
Stanford University via Coursera
Machine Learning
Georgia Institute of Technology via Udacity
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity