The `keras.Sequential.evaluate_generator` function in Python is used to evaluate the performance and accuracy of a Keras sequential model, using data generated from a generator. This function takes a generator as input, which generates batches of data for evaluation, and returns the loss value and evaluation metric(s) for the model. It is a useful tool for assessing the performance of a model on large datasets, as it enables batch-wise evaluation without loading the entire dataset into memory.
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