TF Privacy launch cleanup

PiperOrigin-RevId: 394262183
2021-09-01 10:29:05 -07:00 · 2021-09-01 10:29:05 -07:00 · bb5ca9277b
commit bb5ca9277b
parent e99fb7ea9b
6 changed files with 1 additions and 13 deletions
--- a/g3doc/guide/_index.yaml
+++ b/g3doc/guide/_index.yaml
@ -1,5 +1,5 @@
 # TODO(b/181782485): Switch to the main book for launch - /responsible_ai/_book.yaml
-book_path: /responsible_ai/privacy/_book.yaml
+book_path: /responsible_ai/_book.yaml
 project_path: /responsible_ai/_project.yaml
 title: TensorFlow Privacy
 description: >
--- a/g3doc/guide/_toc.yaml
+++ b/g3doc/guide/_toc.yaml
@ -1,8 +1,6 @@
 toc:
 - title: Overview
  path: /responsible_ai/privacy/guide/
- title: Install
-  path: /responsible_ai/privacy/guide/install
 - title: Get Started
  path: /responsible_ai/privacy/guide/get_started
 - title: Measure Privacy
--- a/g3doc/guide/get_started.md
+++ b/g3doc/guide/get_started.md
@ -1,7 +1,5 @@
 # Get Started

-Using TF Privacy
-
 This document assumes you are already familiar with differential privacy, and
 have determined that you would like to implement TF Privacy to achieve
 differential privacy guarantees in your model(s). If you’re not familiar with
--- a/g3doc/guide/install.md
+++ b/g3doc/guide/install.md
@ -1,3 +0,0 @@
-# Installation Instructions
-
-## Tips
--- a/g3doc/tutorials/_toc.yaml
+++ b/g3doc/tutorials/_toc.yaml
@ -1,6 +1,4 @@
 toc:
- title: Overview
-  path: /responsible_ai/privacy/tutorials/
 - title: Compute privacy
  path: /responsible_ai/privacy/tutorials/classification_privacy
 - title: Assess privacy risk
--- a/g3doc/tutorials/index.md
+++ b/g3doc/tutorials/index.md
@ -1,3 +0,0 @@
-# PROJECT_NAME tutorials
-
-Lorem ipsum dolor sit amet, consectetur adipiscing elit.