Advanced Methods and Deep Learning in Computer Vision

By E.R. Davies (editor), Matthew Turk (editor),

Book cover of Advanced Methods and Deep Learning in Computer Vision

Book description

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks,…

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Why read it?

1 author picked Advanced Methods and Deep Learning in Computer Vision as one of their favorite books. Why do they recommend it?

The advances of deep learning have been awesome, and fast. It’s been hard for the textbooks to keep up, so it’s good to include one that describes the advances and state of art very well. It seems appropriate that it’s edited by two leading researchers who are Roy – who described computer vision systems implementations in a long series of excellent books – and Matt, whose work on face recognition revolutionised and transformed the progress of face recognition in the 1990s. This book gives you an image of where we are now in computer vision, and where we are going. 

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