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manuscript/03.image-classification-with-transfer-learning.md

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@@ -600,7 +600,7 @@ Ok, but how good our model will be when confronted with a real-world image? Let'
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show_image('stop-sign.jpg')
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```
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![png](./stop-sign.jpg)
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![jpg](./stop-sign.jpg)
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For this, we'll have a look at the confidence for each class. Let's get this from our model:
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show_image('unknown-sign.jpg')
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```
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![png](./unknown-sign.jpg)
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![jpg](./unknown-sign.jpg)
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Let's get the predictions:
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show_image('unknown-sign.jpg')
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```
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![png](./unknown-sign.jpg)
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![jpg](./unknown-sign.jpg)
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```py
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pred = predict_proba(enchanced_model, 'unknown-sign.jpg')

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