Growing-Neural-Cellular-Automata
keras
| Growing-Neural-Cellular-Automata | keras | |
|---|---|---|
| 1 | 3 | |
| 225 | 54,926 | |
| - | - | |
| 2.4 | 9.9 | |
| 10 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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Growing-Neural-Cellular-Automata
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New open source automata project
I’m looking to fork a PyTorch project for research but need help from experts. The new open source project would involve taking this existing project and making a few changes, I just don’t have a coding background: https://github.com/chenmingxiang110/Growing-Neural-Cellular-Automata
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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