Understanding Quantum Backpropagation

Speaker:  Siddhartha Bhattacharyya – Kolkat, India
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Backpropagation techniques are widely used in neural networks for the purpose of weight adjustment and system error compensation. The lecture discusses the basics of backpropagation algorithm with reference to a multilayer neural network. In addition, quantum backpropagation is introduced with reference to quantum mechanical principles. Applications of the quantum backpropagation technique are also demonstrated. 

The key topics to be discussed in this lecture include Fundamentals of Multilayer Neural Networks, Backpropagation Algorithm, Quantum Computing Fundamentals, Quantum backpropagation.

About this Lecture

Number of Slides:  45
Duration:  90 minutes
Languages Available:  English
Last Updated: 

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