Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

cases: reapply custom meta title and h1 format (data versioning tutorial) [SEO] #1906

Merged
merged 1 commit into from
Nov 3, 2020
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
---
title: 'Data and Model Versioning Tutorial'
title: 'Tutorial: Data and Model Versioning'
description: 'Get hands-on experience with data versioning in a basic machine
learning version control scenario: managing multiple datasets and ML models
using DVC.'
---

# Data and Model Versioning Tutorial
# Tutorial: Data and Model Versioning

The goal of this example is to give you some hands-on experience with a basic
machine learning version control scenario: managing multiple datasets and ML
Expand All @@ -16,7 +16,7 @@ to build a powerful image classifier using a pretty small dataset.

![](/img/cats-and-dogs.jpg) _Dataset to classify cats and dogs_

> We highly recommend reading the François' tutorial itself. It's a great
> We highly recommend reading François' tutorial itself. It's a great
> demonstration of how a general pre-trained model can be leveraged to build a
> new high-performance model, with very limited resources.

Expand Down