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DNNDeep Neural Network (machine learning)
DNNDresdner Neueste Nachrichten (German newspaper; Dresden, Germany)
DNNDefense Nuclear Nonproliferation (US Department of Energy)
DNNDisaster News Network (Village Life Company)
DNNDenison Mines Corp. (stock symbol; Canada)
DNNDomain Name News
DNNDerby News Network (roller derby website)
DNNDeaf News Network
DNNDepartment of Neurology and Neurosurgery (Estonia)
DNNDynamic Neural Network
DNNDarling New Neighbors (band)
DNNDiploma in Nursery Nursing
DNNDown Nicotine Now (herbal treatment)
DNNDark Narrow Normal
DNNDistributeur Non Nationalisé (French: Non-Nationalized Distributors; energy industry)
DNNDeltavliegschool Noord Nederland
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References in periodicals archive ?
The template was developed to support various next-generation DNNs and can be customised to produce optimised hardware instances for FPGA for a user-given variant of DNN.
Studies prior to DNN extracted hand-crafted features of users for classification.
"Being part of the DNN partner program expands our client's choices, and we're all about helping our clients achieve success over the short- and long-term," says Strohl.
We train GMM, feed-forward DNN and long short-term memory (LSTM) recurrent neural network (RNN) methods using the MFCC features.
The translator is equipped with "TrueText"- a satellite DNN based system that filters repetition, pauses, and indifferent words, enhancing the translation's contextual appropriateness.
In our task, due to the cost of manual labeling, it is difficult to improve the segmentation accuracy of DNN by adding training data.
A heat map of the DNN focus site was created and classified using gradient-weighted class activation mapping [21].
To the best of our knowledge, this article is the first to present the integration of IoT, such as FFNN, LDA, SVM, and DNN algorithms to provide scalable and accurate positioning in indoor and outdoor environments.
In this section, we will present a Particle Swarm Optimization-based algorithm to select the hyperparameters of Deep Neural Networks (DNN).
DNN classifiers have recently shown their superiority over other classical classifier approaches based on feature vector classification [12, 18].
These technique use the deep neural network (DNN) concept is used for recognized the S1 and S2 heart beat sounds.