ok so now the images match what they should be

but it still sucks at classifying? tensorboard log-dir:
redhat12345 · May 19, 2017 · e24d616 · e24d616
1 parent 09b4ec1
commit e24d616
Showing 1 changed file with 0 additions and 2 deletions.
diff --git a/pcanet.py b/pcanet.py
@@ -139,8 +139,6 @@ def main():
     # setup the input data pipelines
     train_image_batch, train_label_batch, test_image_batch, test_label_batch, info = load('mnist')
     # train_image_batch, train_label_batch, test_image_batch, test_label_batch, info = load('cifar10')
-    tf.summary.image("train_image", train_image_batch, max_outputs=5)
-    tf.summary.image("test_image", test_image_batch, max_outputs=5)
 
     sess = tf.Session()