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Efficiency-of-Neural-Architectures
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Eduardo Cueto-Mendoza c63d8e6dba Update for 04-17-22 2022-04-17 17:18:21 +01:00
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config_bayesian.py Update for 04-17-22 2022-04-17 17:18:21 +01:00
config_frequentist.py Update for 04-17-22 2022-04-17 17:18:21 +01:00
cpu_watt.sh Update for 04-16-22 2022-04-16 13:20:44 +01:00
gpu_sample_draw.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
main_bayesian.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
main_frequentist.py Update for 04-17-22 2022-04-17 17:18:21 +01:00
mem_free.sh Update for 04-16-22 2022-04-16 13:20:44 +01:00
metrics.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
run_service.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
uncertainty_estimation.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
utils.py Update for 04-16-22 2022-04-16 13:20:44 +01:00

README.md

Energy efficiency comparison

This experiment compares a Frequentist CNN model against a Bayesian CNN model