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Diffstat (limited to 'tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md b/tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md index 37bce5b76d..2c537c60a1 100644 --- a/tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md +++ b/tensorflow/docs_src/tutorials/sequences/recurrent_quickdraw.md @@ -32,7 +32,7 @@ drawings in 345 categories. To try the code for this tutorial: -1. @{$install$Install TensorFlow} if you haven't already. +1. [Install TensorFlow](../../install/index.md) if you haven't already. 1. Download the [tutorial code] (https://github.com/tensorflow/models/tree/master/tutorials/rnn/quickdraw/train_model.py). 1. [Download the data](#download-the-data) in `TFRecord` format from @@ -108,7 +108,7 @@ This download will take a while and download a bit more than 23GB of data. ### Optional: Converting the data To convert the `ndjson` files to -@{$python/python_io#TFRecords_Format_Details$TFRecord} files containing +[TFRecord](../../api_guides/python/python_io.md#TFRecords_Format_Details) files containing [`tf.train.Example`](https://www.tensorflow.org/code/tensorflow/core/example/example.proto) protos run the following command. @@ -118,7 +118,7 @@ protos run the following command. ``` This will store the data in 10 shards of -@{$python/python_io#TFRecords_Format_Details$TFRecord} files with 10000 items +[TFRecord](../../api_guides/python/python_io.md#TFRecords_Format_Details) files with 10000 items per class for the training data and 1000 items per class as eval data. This conversion process is described in more detail in the following. @@ -220,7 +220,7 @@ length 2. ### Defining the model To define the model we create a new `Estimator`. If you want to read more about -estimators, we recommend @{$custom_estimators$this tutorial}. +estimators, we recommend [this tutorial](../../guide/custom_estimators.md). To build the model, we: |