simil-photo
keras
simil-photo | keras | |
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1 | 3 | |
15 | 54,926 | |
- | - | |
5.0 | 9.9 | |
about 1 year ago | about 2 years ago | |
Python | Python | |
- | Apache License 2.0 |
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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.
simil-photo
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I made a program to find and delete similar or identical images in Windows
I made SimilPhoto to solve this.
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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