![]() ![]() ![]() Similarly, to enable the Translation API, click on its link and press the Enable button. To enable the Vision API, click on its link and press the Enable button. In this tutorial, we'll be using only the Vision and Translation APIs. In the next screen, under the Google Cloud Machine Learning heading, you'll be able to see all the different machine learning APIs available to you. Once the project has been created, go to API Manager > Dashboard and press the Enable API button. In the dialog that pops up, give a meaningful name to the project. Start by logging in to the console and pressing the Create New Project button. You can get one by creating a new project in the Google Cloud Platform console. To be able to use Google's machine learning services in your Android app, you need an API key. ![]() To make the most of this tutorial, all you need is: In this tutorial, I'll introduce you to the Cloud Machine Learning platform and show you how to use it to create a smart Android app that can recognize real-world objects and name them in multiple languages. And guess what? You can use them by simply making a few REST API calls! Most of its models are not only highly accurate, but also constantly improving. As a regular Android app developer, however, you probably lack the resources needed to create such apps from scratch.įortunately, Google recently launched a Cloud Machine Learning platform, which offers neural networks that have been pre-trained to perform a variety of tasks. That's probably why more and more smartphone users are starting to look for smarter apps. ![]() News these days is full of buzzwords such as automation, artificial intelligence, and machine learning. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |