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Towards Data Science Batch Normalization . This work understands these phenomena theoretically. Batch normalization is quite effective at accelerating and improving the training of deep models. Curse of Batch Normalization. Batch Normalization is from towardsdatascience.com These are sometimes called the batch statistics. A deep learning model generally is a cascaded series of layers, each of which receives some input, applies some computation and then hands over the output to the next layer. Batch normalization layer works by performing a series of operations on the incoming input data.
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Towards Data Science Shap . The dataset is the red wine quality data in kaggle.com. Shapley additive explanations (shap), is a method introduced by lundberg and lee in 2017 [ 2] for the interpretation of predictions of ml models through shapely values. Explainable AI (XAI) with SHAP regression problem by from towardsdatascience.com By towards data science every thursday, the variable delivers the very best of towards data science: Interpretation of isolation forest with shap. An action plan from a data scientist — i am a mechanical engineer by education.
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