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07_Inception_Model.ipynb give different results ? #37
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I have just now tested this, and it works fine on my system which is Ubuntu 16.04, Python 3.6, TensorFlow 1.0. It gives the exact same outputs each time I call the function. How do you expect me to help, when you don't give details about the system and software versions you are using, and the output / error messages you are seeing? |
OK, that was a better error-report. Unfortunately, I don't know what is wrong as it works fine for me. You will have to debug to find out what the problem is. It will be a good exercise for you to learn TensorFlow better. A wild guess might be that you have too little RAM, although that should probably give an error somewhere. You could try running it on a friend's PC and see if it works there. If you find the solution then please report it here so it may help others in the future. |
Well no errors at all. Thanks a lot for the support. I will surely update if I found a solution. Well I think you are correct. I tried this with tensorflow tutorial on CNN. It happened the same. Different probabilities and answers. |
i pretrained the inception model in tutorial #9 on my dataset but i want to classify my images like the one in tutorial#07 |
@shamanez It is strange that the error happens when you rerun the entire Notebook and apparently gets worse when you just rerun a part of the Notebook. Try and download the Notebook and this entire repo again, perhaps it has been corrupted. Anyway, I can't help you so I'm closing this topic, but please leave a comment if you find the solution so it may help others in the future. @manselag123 Your question is off-topic for this thread and I cannot help you with a question like this. You will have to do it yourself or ask on StackOverflow. |
@Hvass-Labs Well it's not a problem with repo or the notebook. I tried the same with the tensorflow tutorial on image classification with tensorflow. (https://github.com/tensorflow/models) |
I went through this notebook with given introduction. But when I use classify(image_path) function in the notebook it doesn't give correct predictions all the time.
If I test it on the given panda image it will first predict correct labels. But if I run in again in will give results like website, web .. etc
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