Can you please explain this to me BatchGradientDescentWithrandomShuffling
Batch Gradient Descent
Basically we first need to shuffle the data, that is done using np.arange through which we created list of indices and than we use np.random.shuffle to shuffle these indices. So that when we pick first elements we get indices of these elements from these random shuffled list, now we can pick first batch_size elements and than next and so on.
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