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?