Sensitivity of Feedforward Neural Networks to Harsh Computing Environments
Neural Networks have proven themselves very adept at solving a wide variety of problems, in particular they accel at image processing. However, it remains unknown how well they perform under memory errors. This thesis focuses on the robustness of neural networks under memory errors, specifically sin...
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Virginia Tech
2018
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| Online Access: | http://hdl.handle.net/10919/84527 |