InceptionTime
keras
InceptionTime | keras | |
---|---|---|
2 | 3 | |
604 | 54,926 | |
- | - | |
3.1 | 9.9 | |
7 months ago | about 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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InceptionTime
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Keras-tuner tuning hyperparam controlling feature size
I would recommend you to read the following paper: https://arxiv.org/abs/1909.04939 and their implementation: https://github.com/hfawaz/InceptionTime . Moreover, check out sktime: https://github.com/sktime/sktime
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How to install many packages without having to allow each one?
I have to install all these packages...
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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