Deviating results (online / offline) - picture classification - Python

[marvinpaul95]

Hi,

I'm having problems while using the trained model locally (Python). I'm getting extremely different results between local execution and browser usage. I have adopted the suggested Tensorflow / Keras code one to one.
When I train the model and upload my image in the browser I get a result of 90 / 10:

However, as soon as I let the image pass through the model locally (via the proposed code), I get a distribution of only 35 / 65. The result should be class 1 - so the browser applications performs much better than the local version.

I have simulated this behavior in the following colab:

https://colab.research.google.com/drive/18gDSEv66XV4DXyahCFUEmaWn4zOnf2K8

Both TF 1.15.0 and 2.1 were tested - I'm getting the same results.

Does anybody know where might be the error?

Many thanks in advance (:

[GautamBose]

The inference Colab you have posted looks correct. What browser and OS are you using for training?

[marvinpaul95]

thank you for the help. For the training I used Windows 10 (version 10.0.18363 build 18363) and Google Chrome (version 79). Furthermore I tested Firefox, with the same result.
Is there a browser / os combination that should work better? Which os and browser are you using?