Fault Resilience Analysis of Quantized Deep Neural Networks
This is the recorded version of my presentation at the MIEL 2021 Conference.
Neural Networks models will eventually be deployed on the Hardware. And Hardware is prone to faults; therefore, it is interesting to study the impact of faults in the Neural Network Models.
In the presentation, I have discussed the factors that can impact the reliability of neural networks. I have performed a comprehensive layer-wise fault analysis of homogeneous and heterogeneous quantized DNNs and study the impact of faults (e.g., soft errors modeled as bit flips) in the DNNs' weights.
Link to paper:
https://www.researchgate.net/publicat...
Check out this playlist to to learn Topics related to FPGA [English Language ]
• Zynq FPGA Tutorials ( Zynq Ultrascale+ MPS...
Lets get connected on LinkedIn :)
/ syedrizwantariq