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| author | jvech <jmvalenciae@unal.edu.co> | 2023-08-27 20:43:23 -0500 |
|---|---|---|
| committer | jvech <jmvalenciae@unal.edu.co> | 2023-08-27 20:43:23 -0500 |
| commit | 8daf85f463d159b2b69939233c18760d72b6f4ab (patch) | |
| tree | 019641bf7eac5fbbad66d2116a2402f1b008f19f /utils/settings.cfg | |
| parent | 624c04b33afff299121a5ded475070a2f0236cff (diff) | |
add: data and network initialization done
train subcommand can read and train the network
TODO:
- Refactor json_read() to parse multiple labels
- Implement a function to save network weights once the network have
trained
- Implement a function to load trained weights to use with predict
subcommand
Diffstat (limited to 'utils/settings.cfg')
| -rw-r--r-- | utils/settings.cfg | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/utils/settings.cfg b/utils/settings.cfg index 806f895..00bf040 100644 --- a/utils/settings.cfg +++ b/utils/settings.cfg @@ -2,7 +2,7 @@ loss = square ; options (square) epochs = 40 ; comment alpha = 1e-4 -weights_path = ~/.config/ml/weights.bin +weights_path = utils/weights.bin inputs = x, y labels = z @@ -12,5 +12,9 @@ labels = z neurons=3 activation=relu +[layer] +neurons=4 +activation=relu + [outlayer] activation = sigmoid |