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Efficiency-of-Neural-Architectures
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Eddie Cueto 44272d52a7 Modified early stoping to stop only after 0.50 2023-06-07 08:50:19 +01:00
Mixtures Update for 04-16-22 2022-04-16 13:20:44 +01:00
layers Update for 04-16-22 2022-04-16 13:20:44 +01:00
models Update for 04-16-22 2022-04-16 13:20:44 +01:00
tests Update for 04-16-22 2022-04-16 13:20:44 +01:00
.gitignore Modified early stoping to stop only after 0.50 2023-06-07 08:50:19 +01:00
LICENSE Update for 04-16-22 2022-04-16 13:22:03 +01:00
README.md Update for 04-16-22 2022-04-16 13:20:44 +01:00
amd_sample_draw.py Modified energy summing function 2023-06-07 07:51:07 +01:00
arguments.py Modified energy summing function 2023-06-07 07:51:07 +01:00
config_bayesian.py Ignore save files 2023-06-01 09:20:51 +01:00
config_frequentist.py Modified energy summing function 2023-06-07 07:51:07 +01:00
cpu_watt.sh Modified energy summing function 2023-06-07 07:51:07 +01:00
gpu_sample_draw.py Ignore save files 2023-06-01 09:20:51 +01:00
main_bayesian.py Modified energy summing function 2023-06-07 07:51:07 +01:00
main_frequentist.py Modified energy summing function 2023-06-07 07:51:07 +01:00
mem_free.sh Ignore save files 2023-06-01 09:20:51 +01:00
metrics.py Update for 04-16-22 2022-04-16 13:20:44 +01:00
read_pickle.py Modified energy summing function 2023-06-07 07:51:07 +01:00
run_service.py Ignore save files 2023-06-01 09:20:51 +01:00
stopping_crit.py Modified early stoping to stop only after 0.50 2023-06-07 08:50:19 +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