Application of Artificial Neural Network
Offered By: BUOG SPE Student Chapter via YouTube
Course Description
Overview
Explore the application of artificial neural networks in a comprehensive lecture delivered by Dr. Ahmed Ibrahim. Delve into the fundamental concepts and practical implementations of neural networks across various domains. Gain insights into the architecture, training processes, and optimization techniques used in artificial neural networks. Discover how these powerful computational models can be applied to solve complex problems in fields such as pattern recognition, data analysis, and predictive modeling. Learn from Dr. Ibrahim's expertise as he discusses real-world case studies and demonstrates the potential of neural networks in advancing technological innovations.
Syllabus
Application of Artificial Neural Network, Dr. Ahmed Ibrahim
Taught by
BUOG SPE Student Chapter
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX