Explore the design principles, visualization tools, and theoretical understanding of deep neural networks in this comprehensive course. Ideal for students interested in AI, computer vision, and natural language processing.
Deep Networks have revolutionized computer vision, speech recognition and language translation. They have growing impact in many areas of science and engineering. This course attempts to cover the interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses of deep neural networks.
This course is suitable for students with a strong background in calculus, linear algebra, probability and statistics, machine learning, and programming. It provides an in-depth exploration of the design, visualization, and understanding of deep neural networks, which is highly relevant for students interested in computer vision, speech recognition, language processing, and other areas of artificial intelligence.
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