A taxonomy of Deep Convolutional Neural Nets for Computer Vision

A taxonomy of Deep Convolutional Neural Nets for Computer Vision

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...

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Bibliographic Details
Main Authors: Suraj eSrinivas, Ravi Kiran eSarvadevabhatla, Konda Reddy eMopuri, Nikita ePrabhu, Srinivas eKruthiventi, Venkatesh Babu eRadhakrishnan
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-01-01
Series:Frontiers in Robotics and AI
Subjects:
recurrent neural networks
deep learning
object classification
supervised learning
Convolutional Neural Networks (CNN)
Online Access:http://journal.frontiersin.org/Journal/10.3389/frobt.2015.00036/full

Internet

http://journal.frontiersin.org/Journal/10.3389/frobt.2015.00036/full

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