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WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j

机译:WekaDeeplearning4j:基于Deeplearning4j的Weka深度学习包

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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. (C) 2019 Elsevier B.V. All rights reserved.
机译:深度学习是机器学习的一个分支,通常使用人工神经网络来生成数据的多层表示,并改善了各种机器学习任务(例如,图像分类,对象检测,语音识别)中的最新技术,以及文档分类)。但是,大多数流行的深度学习框架(例如TensorFlow和PyTorch)要求用户编写代码以应用深度学习。我们介绍了WekaDeeplearning4j,这是一个Weka软件包,可通过图形用户界面(GUI)进行深度学习。该软件包使用Deeplearning4j作为其后端,提供GPU支持,并支持基于GUI的深度神经网络训练,例如卷积和循环神经网络。它还提供了图像和文本数据的预处理功能。 (C)2019 Elsevier B.V.保留所有权利。

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