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cost_function :(1 / 2 * num_examples)(which is num_examples/2),actually should be (1 / (2 * num_examples))。this error maybe mislead the training .
When processing new datas,predict and get_cost newly call prepare_for_training without the features_mean / features_deviation ,which is saved in training stage;if normalize_data=True,it maybe let the difference of norm between train&test.