WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
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摘要
Deep 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.
论文关键词:Deep learning,Weka
论文评审过程:Received 9 January 2019, Revised 17 April 2019, Accepted 18 April 2019, Available online 25 April 2019, Version of Record 4 June 2019.
论文官网地址:https://doi.org/10.1016/j.knosys.2019.04.013