Question: python is used to build a classification model using the posterior distribution obtained by Bayesian inference as the initial sampling distribution of the convolutional kernel

python is used to build a classification model using the posterior distribution obtained by Bayesian inference as the initial sampling distribution of the convolutional kernel in the convolutional neural network model, and the IRIS data set on kaggle is used to test the effect of the model, and the traditional convolutional neural network model is compared to see whose performance is better

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