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Diffstat (limited to 'tensorflow/docs_src/get_started/datasets_quickstart.md')
| -rw-r--r-- | tensorflow/docs_src/get_started/datasets_quickstart.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/get_started/datasets_quickstart.md b/tensorflow/docs_src/get_started/datasets_quickstart.md index ecfbf160f0..a8a2ab6e56 100644 --- a/tensorflow/docs_src/get_started/datasets_quickstart.md +++ b/tensorflow/docs_src/get_started/datasets_quickstart.md @@ -169,7 +169,7 @@ the number of examples in the `Dataset` ensures that the data is completely shuffled. The Iris data set only contains 150 examples. The @{tf.data.Dataset.repeat$`repeat`} method has the `Dataset` restart when -it reaches the end. To limit the number of epochss, set the `count` argument. +it reaches the end. To limit the number of epochs, set the `count` argument. The @{tf.data.Dataset.repeat$`batch`} method collects a number of examples and stacks them, to create batches. This adds a dimension to their shape. The new @@ -282,7 +282,7 @@ produce the necessary `(features, label)` pairs. We will start by building a function to parse a single line. -The following `iris_data.parse_line` function acomplishes this taks using the +The following `iris_data.parse_line` function accomplishes this task using the @{tf.decode_csv} function, and some simple python code: We must parse each of the lines in the dataset in order to generate the |