network as model for testing our new data add this code to the filemain py train on mini batches for in range(n_iterations)batch_xbatch_y mnist train next_batch(batch_sizesess run(train_stepfeed_dict=xbatch_xybatch_ykeep_probdropout }print loss and accuracy (per minibatchif = minibatch_lossminibatch_accuracy sess run[cross_entropyaccuracy]feed_dict={xbatch_xybatch_ykeep_prob print"iteration"str( )"\tloss ="str(minibatch_loss)"\taccuracy ="str(minibatch_accuracy