Trouble with TensorFlow and MNIST recognition - tensorflow

Question

Beforehand, I thank you for analyzing my post and helping out. I've recently gotten interested in ML with Tensorflow,
but I've encountered a problem with my code. I'm reading a book called Learning TensorFlow, and I've written out the whole thing
from the first example. They are analyzing MNIST images, and I've also added my own comments with my perspective on how things work
in the code. When I run the code, however, I get an error. Here's my code, and the error.
#Import tensorflow under the name of ts
import tensorflow as tf
#Import MNIST tutorial data from tensorflow
from tensorflow.examples.tutorials.mnist import input_data
#Declare constants
#Data path
DATA_DIR = 'C:/tmp/data'
#Number of steps
NUM_STEPS = 1000
#Number of examples per step
MINIBATCH_SIZE = 100
#When we read the data-set it saves it locally under our data path, or under c:/tmp/data
data = input_data.read_data_sets(DATA_DIR, one_hot = True)
#Our placeholder X is the image. Placeholders are supplied when running the computation graph
x = tf.placeholder(tf.float32, [None, 784])
#Create a variable representing the weights. Variables are manipulated by the computation graph
W = tf.Variable(tf.zeros([784, 10]))
y_true = tf.placeholder(tf.float32, [None, 784])
y_pred = tf.matmul(x, W)
cross_entropy = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(
logits=y_pred, labels=y_true))
gd_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
correct_mask = tf.equal(tf.argmax(y_pred, 1), tf.argmax(y_true, 1))
accuracy = tf.reduce_mean(tf.cast(correct_mask, tf.float32))
with tf.Session() as sess:
#Initialize global variables
sess.run(tf.global_variables_initializer())
for _ in range(NUM_STEPS):
batch_xs, batch_ys = data.train.next_batch(MINIBATCH_SIZE)
sess.run(gd_step, feed_dict={x: batch_xs, y_true: batch_ys})
ans = sess.run(accuracy, feed_dict={x: data.test.images,
y_true: data.test.labels})
print("Accuracy: {:.4}%".format(ans*100))
Now here's the error.
runfile('C:/Users/user/.spyder-py3/temp.py', wdir='C:/Users/user/.spyder-py3')
Extracting C:/tmp/data\train-images-idx3-ubyte.gz
Extracting C:/tmp/data\train-labels-idx1-ubyte.gz
Extracting C:/tmp/data\t10k-images-idx3-ubyte.gz
Extracting C:/tmp/data\t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "<ipython-input-11-bf503334b166>", line 1, in <module>
runfile('C:/Users/user/.spyder-py3/temp.py', wdir='C:/Users/CwWJc/.spyder-py3')
File "C:\Users\user\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)
File "C:\Users\user\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/user/.spyder-py3/temp.py", line 38, in <module>
sess.run(gd_step, feed_dict={x: batch_xs, y_true: batch_ys})
File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 950, in run
run_metadata_ptr)
File "C:\Users\user\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1149, in _run
str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (100, 10) for Tensor
'Placeholder_15:0', which has shape '(?, 784)'
Any help is greatly appreciated. Sorry if I'm making a stupid mistake. I find that I often do, though. Thanks in advance! Also, sorry for garbage formatting. :)

Answer 1

Hahaha! I got y_true mixed up. Sorry for the hassle everyone.