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    <abstract>We demonstrate a JavaScript implementation of a convolutional neural network that performs feedforward inference completely in the browser. Such a deployment means that models can run completely on the client, on a wide range of devices, without making backend server requests. This design is useful for applications with stringent latency requirements or low connectivity. Our evaluations show the feasibility of JavaScript as a deployment target. Furthermore, an in-browser implementation enables seamless integration with the JavaScript ecosystem for information visualization, providing opportunities to visually inspect neural networks and better understand their inner workings.</abstract>
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%0 Conference Proceedings
%T CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities
%A Liang, Yiyun
%A Tu, Zhucheng
%A Huang, Laetitia
%A Lin, Jimmy
%Y Liu, Yang
%Y Paek, Tim
%Y Patwardhan, Manasi
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F liang-etal-2018-cnns
%X We demonstrate a JavaScript implementation of a convolutional neural network that performs feedforward inference completely in the browser. Such a deployment means that models can run completely on the client, on a wide range of devices, without making backend server requests. This design is useful for applications with stringent latency requirements or low connectivity. Our evaluations show the feasibility of JavaScript as a deployment target. Furthermore, an in-browser implementation enables seamless integration with the JavaScript ecosystem for information visualization, providing opportunities to visually inspect neural networks and better understand their inner workings.
%R 10.18653/v1/N18-5013
%U https://aclanthology.org/N18-5013
%U https://doi.org/10.18653/v1/N18-5013
%P 61-65

Markdown (Informal)

[CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities](https://aclanthology.org/N18-5013) (Liang et al., NAACL 2018)

• CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities (Liang et al., NAACL 2018)

ACL

• Yiyun Liang, Zhucheng Tu, Laetitia Huang, and Jimmy Lin. 2018. CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 61–65, New Orleans, Louisiana. Association for Computational Linguistics.