`keras.Sequential.save_weights` is a method in the Python library Keras that allows saving the weights of a model. Weights refer to the internal parameters of a neural network model. This method enables storing the learned parameters in a binary format, which can be easily loaded and used later to restore the same model's state or transferred to a different model with a compatible architecture. The saved weights can be useful for various purposes, such as model checkpointing, deploying models in production, or sharing trained models with others.
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