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Removing links to outdated samples.

These particular samples need rewriting, so they should not be linked here for now.
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wolffg committed Oct 17, 2018
1 parent d784564 commit 51b08b4dba94bd361f41ff642ce105fa214fc441
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  1. +0 −6 site/en/api_guides/python/reading_data.md
@@ -483,12 +483,6 @@ using the `shuffle_batch` functions, we use the plain
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/examples/how_tos/reading_data/fully_connected_preloaded.py`](https://www.tensorflow.org/code/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://www.tensorflow.org/code/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.

## Multiple input pipelines

Commonly you will want to train on one dataset and evaluate (or "eval") on

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