mlsanityData to 14 Oct 2026

Development of JavaScript-based deep learning platform and application to distributed training

arXiv 1702.01846 ↗First posted 7 Feb 2017cs.CV cs.DCcited by 1

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Abstract (arXiv)

Deep learning is increasingly attracting attention for processing big data. Existing frameworks for deep learning must be set up to specialized computer systems. Gaining sufficient computing resources therefore entails high costs of deployment and maintenance. In this work, we implement a matrix library and deep learning framework that uses JavaScript. It can run on web browsers operating on ordinary personal computers and smartphones. Using JavaScript, deep learning can be accomplished in widely diverse environments without the necessity for software installation. Using GPGPU from WebCL framework, our framework can train large scale convolutional neural networks such as VGGNet and ResNet. In the experiments, we demonstrate their practicality by training VGGNet in a distributed manner using web browsers as the client.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 7 Feb 2017.

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