Browsing by Subject "Deep neural networks"
Now showing items 1-4 of 4
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Distributed Deep Neural Networks Training For Brain Imaging Applications
(2019-12-12)Over the recent years, Deep Neural Networks (DNNs) have surpassed human-level intelligence in recognizing and interpreting complex patterns in data. Ever since the ImageNet competition in 2012, Deep Learning (DL) has become ... -
DWRELU : DOUBLE WEIGHTED RECTIFIER LINEAR UNIT AN ACTIVATION FUNCTION WITH TRAINABLE SCALING PARAMETER
(2018-11-14)Deep Neural Network have become very popular for computer vision application in recent years. At the same time, it remains important to understand the different implementation choices that need to be made when designing a ... -
ROBUST TRAINING METHODS FOR DEEP NEURAL NETWORKS WITH A VARIETY OF LABEL NOISE
(2021-05-07)Requirement of significant amount of labeled training data is a major drawback in training deep neural networks (DNNs), due to the presence of mislabeled examples in these datasets. This label noise is shown to have an ... -
UNSUPERVISED DOMAIN ADAPTATION WITH DEEP NEURAL NETWORKS
(2022-05-04)Deep neural networks (DNNs) demonstrate unprecedented achievements on various machine learning problems and applications. However, such impressive performance heavily relies on massive amounts of labeled data which requires ...