ValueError                                Traceback (most recent call last)
<ipython-input-6-6abaa68d6cac> in <module>()
      1 for _ in range(1000):
      2  batch_xs, batch_ys = next_batch(100,training_images,training_labels)
----> 3 sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
      4 correct_prediction = tf.equal(tf.argmax(y,1), tf.argmax(y_,1))
      5 correct_prediction = tf.equal(training_images, training_labels)

C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
    765     try:
    766       result = self._run(None, fetches, feed_dict, options_ptr,
--> 767                          run_metadata_ptr)
    768       if run_metadata:
    769         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
    942                 'Cannot feed value of shape %r for Tensor %r, '
    943                 'which has shape %r'
--> 944                 % (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
    945           if not self.graph.is_feedable(subfeed_t):
    946             raise ValueError('Tensor %s may not be fed.' % subfeed_t)

ValueError: Cannot feed value of shape (100, 20, 20, 3) for Tensor 'Placeholder:0', which has shape '(?, 1200)'