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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu et al. • Frontiers in Robotics and AI (2016)

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 -- th...

OPENALEX cc-by DOI: https://doi.org/10.3389/frobt.2015.00036

A Selective Overview of Deep Learning

Jianqing Fan, Cong Ma, Yiqiao Zhong • Statistical Science (2021)

Deep learning has achieved tremendous success in recent years. In simple words, deep learning uses the composition of many nonlinear functions to model the complex dependency between input features and labels. While neural networks have a l...

OPENALEX Open Access DOI: https://doi.org/10.1214/20-sts783 PMC: 8300482