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I have accomplished to get reproducible results for my Keras project following the tips in this stackoverflow question: Reproducible results using Keras with TensorFlow backend

However when restarting the kernel my Keras model (variational autoencoder/decoder) I still do get different results each time i restart the kernel.

To fix it i have already tried to;

  • Manually set the weights and biases in the entire model(rather than random assignment).
  • Set the PYTHONASHEED in the VENV to zero.
  • Explored different versions from Keras and python3.

Any ideas are welcome because i'm stuck in this project.

M. Punt
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  • If you post a question that has been asked already, make sure you provide enough details for us to know why the existing answers didn't work in your case. Then, we know where to start from – Nicolas Gervais Nov 10 '21 at 20:09

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