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.
Overview
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
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