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Diffstat (limited to 'tensorflow/g3doc/resources/dims_types.md')
| -rw-r--r-- | tensorflow/g3doc/resources/dims_types.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/g3doc/resources/dims_types.md b/tensorflow/g3doc/resources/dims_types.md index 18390724e3..8e55e609a0 100644 --- a/tensorflow/g3doc/resources/dims_types.md +++ b/tensorflow/g3doc/resources/dims_types.md @@ -16,7 +16,7 @@ Python list) has a rank of 2: t = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] A rank two tensor is what we typically think of as a matrix, a rank one tensor -is a vector. For a rank two tensor you can acccess any element with the syntax +is a vector. For a rank two tensor you can access any element with the syntax `t[i, j]`. For a rank three tensor you would need to address an element with `t[i, j, k]`. |