Chapter 13 Question 7 Code

The code provided to produce a CNN seems to error out. I am able to run all of the code up to the very last block.

```
with tf.Session() as sess:
init.run()
for epoch in range(n_epochs):
for X_batch, y_batch in shuffle_batch(X_train, y_train, batch_size):
sess.run(training_op, feed_dict={X: X_batch, y: y_batch})
acc_batch = accuracy.eval(feed_dict={X: X_batch, y: y_batch})
acc_test = accuracy.eval(feed_dict={X: X_test, y: y_test})
print(epoch, "Last batch accuracy:", acc_batch, "Test accuracy:", acc_test)

save_path = saver.save(sess, "./my_mnist_model")
```
Which produces the following error.

`ValueError: Cannot feed value of shape (100, 784) for Tensor 'inputs/X:0', which has shape '(?, 1960)'`

Has anyone else encountered this or knowledgeable about what could be going on?