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Diffstat (limited to 'tensorflow/g3doc/tutorials/mnist/beginners/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/mnist/beginners/index.md | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/tensorflow/g3doc/tutorials/mnist/beginners/index.md b/tensorflow/g3doc/tutorials/mnist/beginners/index.md index 99453d065d..2d4d6c566c 100644 --- a/tensorflow/g3doc/tutorials/mnist/beginners/index.md +++ b/tensorflow/g3doc/tutorials/mnist/beginners/index.md @@ -3,7 +3,9 @@ *This tutorial is intended for readers who are new to both machine learning and TensorFlow. If you already know what MNIST is, and what softmax (multinomial logistic) regression is, -you might prefer this [faster paced tutorial](../pros/index.md).* +you might prefer this [faster paced tutorial](../pros/index.md). +Be sure to [install TensorFlow](../../../get_started/os_setup.md) before +starting either tutorial.* When one learns how to program, there's a tradition that the first thing you do is print "Hello World." Just like programming has Hello World, machine learning @@ -37,11 +39,11 @@ The MNIST data is hosted on [Yann LeCun's website](http://yann.lecun.com/exdb/mnist/). For your convenience, we've included some python code to download and install the data automatically. You can either download -[the code](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/g3doc/tutorials/mnist/input_data.py) +[the code](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/tutorials/mnist/input_data.py) and import it as below, or simply copy and paste it in. ```python -import input_data +import tensorflow.examples.tutorials.mnist.input_data mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) ``` |