Anomalous Behaviour Detection using Transfer Learning Algorithm of Series and DAG Network

Published: Oct 1, 2019
Abstract
Transfer learning is highly recommended in image recognition studies due to its ability in leveraging the finest architecture of pre-trained convolution neural networks (CNNs) for instance AlexNet, GoogLeNet and several others in learning new dataset at a faster learning process with smaller input images and could yield better classification rate as well. Hence, this study discussed deep learning with transfer learning approach in recognizing...
Paper Details
Title
Anomalous Behaviour Detection using Transfer Learning Algorithm of Series and DAG Network
Published Date
Oct 1, 2019
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