Difference between revisions of "Google AutoML"
(→Translation) |
(→Vision) |
||
| Line 38: | Line 38: | ||
<youtube>kgxfdTh9lz0</youtube> | <youtube>kgxfdTh9lz0</youtube> | ||
| + | <youtube>_2eG8xpRYZ4</youtube> | ||
| + | <youtube>fuNt_4DCkd4</youtube> | ||
| + | <youtube>ToFZO1XgHE8</youtube> | ||
| + | <youtube>4gQ2NqNazgs</youtube> | ||
| + | <youtube>_a9VyXhPnrM</youtube> | ||
== <span id="Video Intelligence"></span>Video Intelligence == | == <span id="Video Intelligence"></span>Video Intelligence == | ||
Revision as of 22:16, 24 July 2019
YouTube search... ...Google search
Automatically build and deploy state-of-the-art machine learning models for...
Contents
Custom Model
Tables - Structured Data
- Google AutoML Tables automates feature engineering on a wide range of tabular data primitives — such as numbers, classes, strings, timestamps, and lists — and also helps you detect and take care of missing values, outliers, and other common data issues.
Natural Language
- Google Cloud AutoML Natural Language enables you to create custom machine learning models to classify English-language content into a custom set of categories.
Translation
- AutoML Translation lets you to create your own, custom translation models so that translation queries return results specific to your domain.
Vision
- AutoML Vision enables you to train machine learning models to classify your images according to your own defined labels.
- Notebook for preparing a CSV for Google Cloud AutoML Vision
Video Intelligence
- AutoML Video Intelligence enables you to train machine learning models to classify shots and segments in your videos according to your own defined labels.
