<p>Please refer to the below paper on Tensorflow Distributions and see if it helps answer your question. </p>

<p><a href="https://arxiv.org/pdf/1711.10604.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1711.10604.pdf</a></p>

<p>If not, please elaborate your issue. </p>

<p>Mention any code snippet of what you have tried, or any limitations you faced while implementing your model.</p>
Numerically Stable Tensorflow
<p>Tensorflow has been used to compute images but I want to use Tensorflow to compute Biological Models. However, the biological model requires big division and this causes numerical instability. I want to have TensorFlow that supports more numerically stability. Are there any hacks to allow Tensorflow to be more numerically stable? I will follow up with more codes in the near feature but if there are any options please tell me. </p>