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re initialize weights keras

Save the initial weights right after compiling the model but before training it:

model.save_weights('model.h5')
and then after training, "reset" the model by reloading the initial weights:

model.load_weights('model.h5')
This gives you an apples to apples model to compare different data sets and should be quicker than recompiling the entire model.

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re initialize weights keras

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