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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-08-17 20:50:10 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-08-17 22:04:17 -0700 |
| commit | 7b160cf8cd77b13176f8a734f438c60060e09b03 (patch) | |
| tree | 08eeb9a3cbeab8a812d709408b8be1858a58febd /tensorflow/examples/image_retraining | |
| parent | a4bbacf14882f60525947c1b543b0ad250c793db (diff) | |
Fix a typo in retrain.py
Change: 130599513
Diffstat (limited to 'tensorflow/examples/image_retraining')
| -rw-r--r-- | tensorflow/examples/image_retraining/retrain.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/image_retraining/retrain.py b/tensorflow/examples/image_retraining/retrain.py index be2d7e715a..b009262d6e 100644 --- a/tensorflow/examples/image_retraining/retrain.py +++ b/tensorflow/examples/image_retraining/retrain.py @@ -852,7 +852,7 @@ def main(_): # Run the training for as many cycles as requested on the command line. for i in range(FLAGS.how_many_training_steps): - # Get a catch of input bottleneck values, either calculated fresh every time + # Get a batch of input bottleneck values, either calculated fresh every time # with distortions applied, or from the cache stored on disk. if do_distort_images: train_bottlenecks, train_ground_truth = get_random_distorted_bottlenecks( |