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| -rw-r--r-- | ISSUE_TEMPLATE.md | 1 | ||||
| -rw-r--r-- | tensorflow/docs_src/tutorials/deep_cnn.md | 2 |
2 files changed, 2 insertions, 1 deletions
diff --git a/ISSUE_TEMPLATE.md b/ISSUE_TEMPLATE.md index 4f1666c2e7..5bf13ee152 100644 --- a/ISSUE_TEMPLATE.md +++ b/ISSUE_TEMPLATE.md @@ -17,6 +17,7 @@ If you open a GitHub issue, here is our policy: - **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: - **TensorFlow installed from (source or binary)**: - **TensorFlow version (use command below)**: +- **Python version**: - **Bazel version (if compiling from source)**: - **CUDA/cuDNN version**: - **GPU model and memory**: diff --git a/tensorflow/docs_src/tutorials/deep_cnn.md b/tensorflow/docs_src/tutorials/deep_cnn.md index 8013746eca..a9e9dda12b 100644 --- a/tensorflow/docs_src/tutorials/deep_cnn.md +++ b/tensorflow/docs_src/tutorials/deep_cnn.md @@ -178,7 +178,7 @@ the network architecture to return normalized predictions using @{tf.nn.softmax}. The `inputs()` and `inference()` functions provide all the components -necessary to perform evaluation on a model. We now shift our focus towards +necessary to perform an evaluation of a model. We now shift our focus towards building operations for training a model. > **EXERCISE:** The model architecture in `inference()` differs slightly from |