practice and focus on a very powerful idea of batching your data into mini batches so to do this let's revisit the gradient descent algorithm this gradient is actually very computationally expensive to compute in practice so using the backprop algorithm is a very expensive idea and practice so what we want to do is actually not compute this over all of the data points but actually computed over just a single data point in the data set and most real-life applications it's not actually feasible to compute on your entire data