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base repository: yabata/pyrenn
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head repository: yabata/pyrenn
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6
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Commits on Jan 20, 2016
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Commits on Jan 21, 2016
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Commits on Feb 15, 2016
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Commits on Feb 16, 2016
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Commits on May 3, 2016
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Commits on Nov 2, 2016
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modify initialization of a in prepare_data for given P0 and Y0. There was an error using P0 and Y0 when the NN had internal delays python: using int() to avoid numpy warnings while indexing
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Commits on Nov 3, 2016
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In pyrenn.py in the RTRL function:
the sensitivity Matrix S is reseted every time in dA_dw (derivative of layer outputs a with respect to weight vector w) entries older than q-max_delay are deleted As suggested by jjboltz1234 here #2 (comment):
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Commits on Nov 14, 2016
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Commits on May 22, 2017
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training functions are called train_LM and train_BFGS, not trainLM and trainBFGS. Corrected this in the documentation.
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Commits on May 23, 2017
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Commits on Jun 16, 2017
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It wasn't loading correctly the NN when the internal delay was set it
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Commits on Jun 20, 2017
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Merge pull request #4 from DiMiGi/patch-1
used wrong index when loading internal delay from saved NN in function loadNN
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Commits on Aug 9, 2017
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Commits on Aug 17, 2017
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Commits on Sep 25, 2017
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Commits on Sep 27, 2017
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Merge pull request #5 from akbargumbira/master
Add setup file for easier installation
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Commits on Jun 25, 2018
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Commits on Jun 30, 2018
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Commits on Feb 18, 2019
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The proposed changes help in two ways: 1. Prevent training from running forever when error improves slightly 2. Stop a training early before k_max is reached if error doesn't improve any more
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Commits on Apr 1, 2019
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Refine early stopping criterium
Refine early stopping criterium for resetting when a step is successful and verbose is chosen
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Commits on Apr 22, 2019
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Merge pull request #8 from mc10011/patch-2
Update Train_LM with minimum error step criterium
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Commits on Jan 31, 2020
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