I have several implementation of the same neural network, but each one with different starting parameter.

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This is one of my plot comparing the training loss of the base experiment with the training loss of another experiment.

I have also other exaples:

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May anyone point me to some instruction on how understand these output from the keras fit()? Note that I don't have any validation set.



In Keras model it defines its own bias and weight..and eventually they converge closer to Y as loss decreases..the output graphs would change based on learning rate, batch size and epochs

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