an implement of AlexNet with tensorflow, which has a detailed explanation.
an easy implement of AlexNet with tensorflow, which has a detailed explanation.
The code is an implement of AlexNet with tensorflow. The detailed explanation can be found here
Before running the code, you should confirm that you have :
Finally, run the test file with "python3 testModel.py -m folder -p testModel", you will see some images with the predicted label (press any key to move on to the next image).
The command also supports url.
For eg. "python3 testModel.py -m url -p http://www.cats.org.uk/uploads/images/featureboxsidebarkids/Cat-Behaviour.jpg"
You can also use tensorboard to monitor the process. Remeber to see detailed explanation.
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