### How to make sure that Keras model weights are initialised randomly every-time the model is fit

I am training a Keras model for my data. I have to split the data into 3 parts and I am calling the same keras model for each split and trying to fit and predict consecutively. I have a suspicion that every-time I call the model the model weights remain the same after reaching convergence…

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