课程: AutoML: Build Production-Ready Models Quickly!

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Using your model

Using your model - Python教程

课程: AutoML: Build Production-Ready Models Quickly!

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Using your model

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- [Instructor] So far, we have trained the model to classify African fashion items across eight classes. We looked at how the probability threshold affects the overall recall and precision of our model. Now, we want to explore how we can use this trained model to classify new data. We navigate to the predictions tab to do this. Let's start with a quick test for a train model. We'll click quick test and then upload an image. We'll choose an image from the validation set of our data set here. So I'll click vow and then I'll choose from any of our classes. Let's go with your blouse and I'll pick your random image and upload it. Okay, so we have a probability distribution just like we saw before and we can see that very high probability is assigned to the blouse class and this prediction is correct. Let's try one more quick test but this time with a slightly different image and also an image from the internet. I'll open up…

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