keras
watermark-removal
| keras | watermark-removal | |
|---|---|---|
| 3 | 1 | |
| 54,926 | 1,604 | |
| - | - | |
| 9.9 | 4.6 | |
| about 2 years ago | 26 days ago | |
| Python | Python | |
| Apache License 2.0 | - |
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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?
watermark-removal
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First open source text to video 1.7 billion parameter diffusion model is out
Better for watermark removal: https://github.com/zuruoke/watermark-removal
What are some alternatives?
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