ltfn_1_3.py

  with tf.Session(graph=graph) as session:
      tf.global_variables_initializer().run()

      num_steps = 1000
      batch_size = 100
      for step in range(num_steps):
          offset = (step * batch_size) % (train_labels.shape[0] - batch_size)
          batch_images = train_images[offset:(offset + batch_size), :]
          batch_labels = train_labels[offset:(offset + batch_size), :]
          feed_dict = {input: batch_images, labels: batch_labels}

          o, c, = session.run([optimizer, cost], feed_dict=feed_dict)
          print("Cost: ", c)