AutoML for Model Compression and Acceleration on Mobile Devices using Reinforcement Learning

  • Mr. Prashant Gadakh, Ansh Jain, Ritika Dave

Abstract

Background: Model compression has been described as a crucial skill which resourcefully implement neutral network model on mobile devices possessing scarce computation assets and also operating under a tight budget. Most of the ancient model compression depend on methods which are handmade and also they operate under a rule-based procedure which only function under a domain expert so as to investigate one of the greatest design location for trading off for all the model size, speed, and the accuracy i.e. a sub-optimal and time consuming.

Published
2020-05-01
How to Cite
Mr. Prashant Gadakh, Ansh Jain, Ritika Dave. (2020). AutoML for Model Compression and Acceleration on Mobile Devices using Reinforcement Learning. International Journal of Advanced Science and Technology, 29(06), 4578 - 4583. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/19364