Srinivas, Suraj and Sarvadevabhatla, Ravi K and Mopuri, Konda R and Prabhu, Nikita and Kruthiventi, Srinivas SS and Babu, R Venkatesh (2017) An Introduction to Deep Convolutional Neural Nets for Computer Vision. [Book Chapter]
Full text not available from this repository.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 suitable for a given problem. We specifically consider one form of deep networks widely used in computer vision - convolutional neural networks (CNNs). We start with "AlexNet" as our base CNN and then examine the broad variations proposed over time for many applications. We hope that our recipe-style presentation will serve as a guide, particularly for novice practitioners intending to use deep-learning techniques for computer vision.
| Item Type: | Book Chapter |
|---|---|
| Publisher: | Elsevier Inc. |
| Additional Information: | The copyright for this article belongs to the Elsevier Inc. |
| Keywords: | Computer vision; Convolutional neural network; Deep learning; Image classification; Recurrent neural networks |
| Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre |
| Date Deposited: | 29 May 2022 08:45 |
| Last Modified: | 31 May 2022 00:47 |
| URI: | https://eprints.iisc.ac.in/id/eprint/72801 |
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