diff options
Diffstat (limited to 'tensorflow/g3doc/how_tos/reading_data/index.md')
| -rw-r--r-- | tensorflow/g3doc/how_tos/reading_data/index.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/g3doc/how_tos/reading_data/index.md b/tensorflow/g3doc/how_tos/reading_data/index.md index e8ad141fea..7caff72c2e 100644 --- a/tensorflow/g3doc/how_tos/reading_data/index.md +++ b/tensorflow/g3doc/how_tos/reading_data/index.md @@ -35,7 +35,7 @@ it is executed without a feed, so you won't forget to feed it. An example using `placeholder` and feeding to train on MNIST data can be found in -[`tensorflow/g3doc/tutorials/mnist/fully_connected_feed.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/tutorials/mnist/fully_connected_feed.py), +[`tensorflow/examples/tutorials/mnist/fully_connected_feed.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/tutorials/mnist/fully_connected_feed.py), and is described in the [MNIST tutorial](../../tutorials/mnist/tf/index.md). ## Reading from files @@ -154,7 +154,7 @@ as a field). You write a little program that gets your data, stuffs it in an writes the string to a TFRecords file using the [`tf.python_io.TFRecordWriter` class](../../api_docs/python/python_io.md#TFRecordWriter). For example, -[`tensorflow/g3doc/how_tos/reading_data/convert_to_records.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/how_tos/reading_data/convert_to_records.py) +[`tensorflow/examples/how_tos/reading_data/convert_to_records.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/how_tos/reading_data/convert_to_records.py) converts MNIST data to this format. To read a file of TFRecords, use @@ -163,7 +163,7 @@ the [`tf.parse_single_example`](../../api_docs/python/io_ops.md#parse_single_exa decoder. The `parse_single_example` op decodes the example protocol buffers into tensors. An MNIST example using the data produced by `convert_to_records` can be found in -[`tensorflow/g3doc/how_tos/reading_data/fully_connected_reader.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/how_tos/reading_data/fully_connected_reader.py), +[`tensorflow/examples/how_tos/reading_data/fully_connected_reader.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/how_tos/reading_data/fully_connected_reader.py), which you can compare with the `fully_connected_feed` version. ### Preprocessing @@ -455,8 +455,8 @@ multiple preprocessing threads, set the `num_threads` parameter to a number bigger than 1. An MNIST example that preloads the data using constants can be found in -[`tensorflow/g3doc/how_tos/reading_data/fully_connected_preloaded.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/how_tos/reading_data/fully_connected_preloaded.py), and one that preloads the data using variables can be found in -[`tensorflow/g3doc/how_tos/reading_data/fully_connected_preloaded_var.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/how_tos/reading_data/fully_connected_preloaded_var.py), +[`tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded.py), and one that preloads the data using variables can be found in +[`tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/how_tos/reading_data/fully_connected_preloaded_var.py), You can compare these with the `fully_connected_feed` and `fully_connected_reader` versions above. |