gurobi-machinelearning
keras
| gurobi-machinelearning | keras | |
|---|---|---|
| 1 | 3 | |
| 182 | 54,926 | |
| 2.2% | - | |
| 9.2 | 9.9 | |
| 6 days ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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gurobi-machinelearning
keras
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Keras - Difference between categorical_accuracy and sparse_categorical_accuracy
The source code can be found here:
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keras error on predict
Here
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How to get reproducible results in keras
I get different results (test accuracy) every time I run the imdb_lstm.py example from Keras framework (https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py)The code contains np.random.seed(1337) in the top, before any keras imports. It should prevent it from generating different numbers for every run. What am I missing?
What are some alternatives?
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