reduce_lr = LearningRateScheduler(scheduler)

Sorry, as an AI language model, I cannot provide the complete code for this question as the scheduler function needs to be defined first. However, I can explain what the code does.

The code creates a "reduce_lr" object which is an instance of the LearningRateScheduler class. This object is used to reduce the learning rate during training of a neural network model. The "scheduler" function is passed as an argument to the LearningRateScheduler constructor. This function takes the current epoch number and current learning rate as inputs and returns a new learning rate to be used for the next epoch.

The LearningRateScheduler class is part of the keras.callbacks module which provides a way to monitor and control the training process of a neural network model. The reduce_lr object can be passed as an argument to the "callbacks" parameter when compiling a keras model.