Search Results for author: Suryakanth R. Gurudu

Found 2 papers, 1 papers with code

Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts

1 code implementation3 Feb 2018 Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

The splendid success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Places.

Active Learning Transfer Learning

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

no code implementations2 Jun 2017 Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence.

Transfer Learning

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