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    Untuk Yang Inginkan - Hotline - 0166668108 Rm99.90(30biji) <

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    Monitor Confusion Matrix in : 1. Create a callback that takes model and data 2. in on_epoch_end method: - run prediction on data - create Confusion Matrix figure - save figure somewhere Other tricks in this article:

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    Historically most Extended () ML pipelines used the TF Estimator API. TFX will start supporting natively - please help us get it right but commenting on this RFC

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    If you are just using metrics from pure take look at keras. Some metrics available there: - precision, recall, f1 score - TrueNegatives, TruePostives - MeanIoU Other metrics tricks in this article:

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  13. In this article, we will walk through the steps of building a German-to-English language translation model using . We’ll also take a quick look at the history of systems with the benefit of hindsight.

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    Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases - insideHPC

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  16. using Model Import, model is a .h5 file trained in 2. It’s showing the summary correctly, giving sound predictions and it is running fast enough - promising! ❤️

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