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dc.contributor.authorLang, Stevenen_NZ
dc.contributor.authorBravo-Marquez, Felipeen_NZ
dc.contributor.authorBeckham, Christopher J.en_NZ
dc.contributor.authorHall, Mark A.en_NZ
dc.contributor.authorFrank, Eibeen_NZ
dc.date.accessioned2019-06-09T21:27:32Z
dc.date.available2019en_NZ
dc.date.available2019-06-09T21:27:32Z
dc.date.issued2019en_NZ
dc.identifier.citationLang, S., Bravo-Marquez, F., Beckham, C. J., Hall, M. A., & Frank, E. (2019). WekaDeeplearning4j: A deep learning package for weka based on Deeplearning4j. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2019.04.013en
dc.identifier.issn0950-7051en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12604
dc.description.abstractDeep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in various machine learning tasks (e.g., image classification, object detection, speech recognition, and document classification). However, most popular deep learning frameworks such as TensorFlow and PyTorch require users to write code to apply deep learning. We present WekaDeeplearning4j, a Weka package that makes deep learning accessible through a graphical user interface (GUI). The package uses Deeplearning4j as its backend, provides GPU support, and enables GUI-based training of deep neural networks such as convolutional and recurrent neural networks. It also provides pre-processing functionality for image and text data.
dc.language.isoenen_NZ
dc.publisherElsevier BVen_NZ
dc.rightsThis is an author’s accepted version of an article published in the journal: Knowledge-Based Systems. © 2019 Elsevier.
dc.subjectcomputer scienceen_NZ
dc.subjectdeep learningen_NZ
dc.subjectWekaen_NZ
dc.titleWekaDeeplearning4j: A deep learning package for weka based on Deeplearning4jen_NZ
dc.typeJournal Article
dc.identifier.doi10.1016/j.knosys.2019.04.013en_NZ
dc.relation.isPartOfKnowledge-Based Systemsen_NZ
pubs.elements-id237170
pubs.publication-statusPublisheden_NZ


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