# Difference between np.mean vs tf.reduce_mean

What is the difference between **np.mean** and **tf.reduce_mean**? I meet both functions at the same time in the code. Why do we need to convert the tensor to compute the mean using numpy?

What is the difference between **np.mean** and **tf.reduce_mean**? I meet both functions at the same time in the code. Why do we need to convert the tensor to compute the mean using numpy?

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