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

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