小编Rol*_* B.的帖子

x = tf.placeholder(dtype = tf.float32, shape = [None, 28, 28])
y = tf.placeholder(dtype = tf.int32, shape = [None])
images_flat = tf.contrib.layers.flatten(x)
logits = tf.contrib.layers.fully_connected(images_flat, 62, tf.nn.relu)
loss = 
tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits( 
   labels = y, logits = logits))
   train_op = 
   tf.train.AdamOptimizer(learning_rate=0.001).minimize(loss)
   correct_pred = tf.argmax(logits, 1)
   accuracy = tf.reduce_mean(tf.cast(correct_pred, 
   tf.float32))

   print("images_flat: ", images_flat)
   print("logits: ", logits)
   print("loss: ", loss)
   print("predicted_labels: ", correct_pred)


AttributeError                            Traceback (most recent call last)
<ipython-input-17-183722ce66a3> in <module>
      1 x = tf.placeholder(dtype = tf.float32, shape = [None, 28, 28])
      2 y …