An Introduction to Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas; Ravi K. Sarvadevabhatla; Konda R. Mopuri; Nikita Prabhu; Srinivas S.S. Kruthiventi; R. Venkatesh Babu Indian Institute of Science, Bangalore, India
Abstract
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative – that of automatically learning problem-specific features. With this new paradigm, every problem in computer vision is now being re-examined from a deep learning perspective. Therefore, it has become important to understand what kind of deep networks are ...
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