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1_measure_files

Update README.md

Nov 21, 2022

e273674 · Nov 21, 2022

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HR_step_segmented		HR_step_segmented	Update README.md	Nov 21, 2022
Pavel_paper		Pavel_paper	Add files via upload	Nov 4, 2022
shorter_ver		shorter_ver	Add files via upload	Oct 31, 2022
wHR		wHR	Matlab files for step segmented with HR data	Nov 10, 2022
Automatic_subj_training-test_HR.ipynb		Automatic_subj_training-test_HR.ipynb	Clean code test_HR notebook	Oct 24, 2022
Automatic_subj_training.ipynb		Automatic_subj_training.ipynb	Automatic subject training Python script	Oct 13, 2022
README.md		README.md	Update README.md	Nov 17, 2022
Verify_Matlab_input.ipynb		Verify_Matlab_input.ipynb	Add script verify Matlab input files	Oct 31, 2022
Verify_Matlab_input_step_segmented.ipynb		Verify_Matlab_input_step_segmented.ipynb	File verify input features after step segmented	Oct 31, 2022
cell_array_parser_vn200.m		cell_array_parser_vn200.m	Delete comment	Oct 23, 2022
features_OK.m		features_OK.m	Delete comment	Oct 23, 2022
input_features.m		input_features.m	Add files via upload	Oct 11, 2022
reconfig.sh		reconfig.sh	Add script reconfig data upload to JYU gitlab	Oct 18, 2022
run.m		run.m	Comment unnecessary code part	Oct 23, 2022
trainingPartitions.m		trainingPartitions.m	Add files via upload	Oct 11, 2022
velSeg.m		velSeg.m	Delete comment	Oct 23, 2022

README.md

Useful link

Diagnose udner/over fit in LSTM

Understand impact of learning rate

This repo contains all neccessary files for measurement day

Validate normal inputFeatures9_sorted.mat train 850 epochs, validation_split=0.33

With `inputFeatures9_sorted_99.mat`

Decrease learning rate to 0.01 and 500 epochs

Without shuffle

With sorted