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@@ -68,10 +68,18 @@ first by opening the DIGITS workspace we should see something like this
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#### the model
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- by choosing `images` then `classification`
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![](https://github.com/mohamedsayedantar/Robotic-Inference/blob/master/images/model-classification.png)
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- now we can set the number of epochs, Snapshot interval, Base Learning Rate, Validation interval ....
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- by choosing one of the 3 networks provided LeNet, AlexNet and GoogLeNet in this case AlexNet gaved a good results.
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- giving the model a name the create.
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![](https://github.com/mohamedsayedantar/Robotic-Inference/blob/master/images/model.png)
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![](https://github.com/mohamedsayedantar/Robotic-Inference/blob/master/images/graph1.png)
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- by running the `evaluate` command in a new terminal in udacity workspace the results will be like so
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![](https://github.com/mohamedsayedantar/Robotic-Inference/blob/master/images/evaluate.png)
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