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Diffstat (limited to 'tensorflow/g3doc/tutorials/image_recognition/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/image_recognition/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/tutorials/image_recognition/index.md b/tensorflow/g3doc/tutorials/image_recognition/index.md index 3a7e50bd81..62b802c022 100644 --- a/tensorflow/g3doc/tutorials/image_recognition/index.md +++ b/tensorflow/g3doc/tutorials/image_recognition/index.md @@ -262,7 +262,7 @@ output data. This gives us a vector of `Tensor` objects, which in this case we know will only be a single object long. You can think of a `Tensor` as a multi-dimensional array in this -context, and it holds a 299 pixel high, 299 pixel width, 3 channel image as float +context, and it holds a 299 pixel high, 299 pixel wide, 3 channel image as float values. If you have your own image-processing framework in your product already, you should be able to use that instead, as long as you apply the same transformations before you feed images into the main graph. |