The `predict_classes` function in Python's Keras library is a handy method that can be used with a Sequential model to make predictions on new data. This function takes in an input data and returns the predicted classes for that data. It uses the trained model's learned weights and biases to make these predictions. The output of this function is the predicted class label for each input data point, based on the highest probability obtained from the model's output layer. This function is useful for tasks like classification, where the goal is to predict the class or label of new data given a trained model.
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