keras
InceptionTime
| keras | InceptionTime | |
|---|---|---|
| 3 | 2 | |
| 54,926 | 604 | |
| - | - | |
| 9.9 | 3.1 | |
| about 2 years ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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?
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...
What are some alternatives?
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