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Update README.md
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Philippe Rémy authored Apr 27, 2017
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Expand Up @@ -56,11 +56,11 @@ Because it's impossible to classify pure random time series into two distinct cl
<img src="fig/2.png" width="400"><br><br>
</div>

### Output example
### Keep in mind that LSTM is also good!
```
[TRAINING] #batch = 198, tr_loss = 0.074
[TRAINING] #batch = 199, tr_loss = 0.229
[TRAINING] #batch = 200, tr_loss = 0.075
[TESTING] #batch = 200, te_loss = 0.094, te_acc = 0.992
[ALL] total batches = 200 total mean accuracy on testing set = 0.99
python3 lstm_keras.py # on correlation classification task
[...]
[test] loss= 0.021, acc= 100.00
[test] loss= 0.004, acc= 100.00
[test] loss= 0.004, acc= 100.00
```

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