Student Work
Efficient Models Selecting
PubblicoContenuto scaricabile
open in viewerThe goal of this project is to enhance the efficiency of mobile device machine learning using deep learning pre-trained models. This is achieved by dynamically changing pre-trained model files based on the accuracy and latency of models. Ranking all available models, the application compute the average accuracy and latency after every time usage.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-032318-120203
- Advisor
- Year
- 2018
- Date created
- 2018-03-23
- Resource type
- Major
- Rights statement
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- In Collection:
Articoli
Elementi
Thumbnail | Titolo | Visibilità | Embargo Release Date | Azioni |
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Efficient_Models_Selecting-MQP.pdf | Pubblico | Scaricare |
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