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-rw-r--r--tensorflow/docs_src/get_started/_index.yaml12
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/docs_src/get_started/_index.yaml b/tensorflow/docs_src/get_started/_index.yaml
index af255a482d..277fc852fb 100644
--- a/tensorflow/docs_src/get_started/_index.yaml
+++ b/tensorflow/docs_src/get_started/_index.yaml
@@ -74,7 +74,7 @@ landing_page:
The high-level Keras API provides building blocks to create and
train deep learning models. Start with these beginner-friendly
notebook examples, then read the
- <a href="/programmers_guide/keras">TensorFlow Keras guide</a>.
+ <a href="/guide/keras">TensorFlow Keras guide</a>.
</p>
<ol style="padding-left:20px;">
<li><a href="/get_started/basic_classification">Basic classification</a></li>
@@ -85,7 +85,7 @@ landing_page:
</ol>
</div>
<div class="devsite-landing-row-item-buttons" style="margin-top:0;">
- <a class="button button-primary tfo-button-primary" href="/programmers_guide/keras">Read the Keras guide</a>
+ <a class="button button-primary tfo-button-primary" href="/guide/keras">Read the Keras guide</a>
</div>
</div>
- classname: tfo-landing-row-item-code-block
@@ -123,7 +123,7 @@ landing_page:
<div class="devsite-landing-row-item-description-content">
<p>
Eager execution provides an imperative, define-by-run interface for advanced operations. Write custom layers, forward passes, and training loops with auto‑differentiation. Start with
- these notebooks, then read the <a href="/programmers_guide/eager">eager execution guide</a>.
+ these notebooks, then read the <a href="/guide/eager">eager execution guide</a>.
</p>
<ol style="padding-left:20px;">
<li>
@@ -165,7 +165,7 @@ landing_page:
</ol>
</div>
<div class="devsite-landing-row-item-buttons">
- <a class="button button-primary tfo-button-primary" href="/programmers_guide/eager">Read the eager execution guide</a>
+ <a class="button button-primary tfo-button-primary" href="/guide/eager">Read the eager execution guide</a>
</div>
</div>
- custom_html: >
@@ -177,7 +177,7 @@ landing_page:
<p>
Estimators can train large models on multiple machines in a
production environment. Try the examples below and read the
- <a href="/programmers_guide/estimators">Estimators guide</a>.
+ <a href="/guide/estimators">Estimators guide</a>.
</p>
<ol style="padding-left: 20px;">
<li><a href="/tutorials/text_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li>
@@ -186,7 +186,7 @@ landing_page:
</ol>
</div>
<div class="devsite-landing-row-item-buttons">
- <a class="button button-primary tfo-button-primary" href="/programmers_guide/estimators">Read the Estimators guide</a>
+ <a class="button button-primary tfo-button-primary" href="/guide/estimators">Read the Estimators guide</a>
</div>
</div>