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author | 2017-06-15 09:37:49 -0700 | |
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committer | 2017-06-15 09:41:52 -0700 | |
commit | ff29c995ea187932a4f6f25c0a7a1a5c4577655e (patch) | |
tree | 453b4cfe9a177aecceb4a2af65bb6b155b6db2a7 /tensorflow/examples/learn | |
parent | 6138e267a2cb00a242cc1badf226b8e5cda1da48 (diff) |
Updates get_started/tflearn.md to use tf.estimator api, renames the file and updates links.
PiperOrigin-RevId: 159114013
Diffstat (limited to 'tensorflow/examples/learn')
-rw-r--r-- | tensorflow/examples/learn/README.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/examples/learn/README.md b/tensorflow/examples/learn/README.md index e5b34292b1..3166f37e78 100644 --- a/tensorflow/examples/learn/README.md +++ b/tensorflow/examples/learn/README.md @@ -1,9 +1,9 @@ # Estimator Examples TensorFlow Estimators are a high-level API for TensorFlow that allows you to -create, train, and use deep learning models easily. +create, train, and use deep learning models easily. -See the [Quickstart tutorial](https://www.tensorflow.org/get_started/tflearn) +See the [Quickstart tutorial](https://www.tensorflow.org/get_started/estimator) for an introduction to the API. To run most of these examples, you need to install the `scikit learn` library |