Google's AI investments such as Vision APIs, Cloud Jobs API, Video Intelligence API, Cloud Speech API and Cloud Translation API are based on TensorFlow.
Google cloud prediction API that provides a RESTful API as a black box to build ML models basing on a training dataset.
In order to test the proposed approach, we compared it with two following classifiers approaches: Google cloud prediction API that provides a RESTful API as a black box to build ML models basing on a training dataset.
The pre-trained models include existing APIs like the Google Translate API and Cloud Vision API, but also new services like the Google Cloud Speech API (you can read more about this here).
Over the course of 2016 the GDELT Project processed more than 234 million images from online news outlets throughout the world through the Google Cloud Vision API, generating more than 1.8TB of JSON data describing them in detail.
Google Cloud announced Google Docs API for workflow automation on February 11, clearly ramping up to compete with Microsoft Azure in its core enterprise workflow automation market.
In addition to its first place prize, Eyes and Ears was named best use of Google Cloud API.
IBM Watson, Google Cloud ML APIs, Microsoft Cognitive Services and Amazon AI APIs are examples of such hosted APIs.
Example vendors: Affectiva, Amazon Lex, Amazon Rekognition, Aurora Computer Services, Caffe, Clarifai, Deepomatic, Ditto, Equals 3 Lucy, FaceFirst, Google Cloud Platform APIs, HyperVerge, IBM Watson Developer Cloud, KeyLemon, Linkface, Microsoft Cognitive Services , Microsoft Cortana Intelligence Suite ModiFace, Nuance Communications, OpenText, Revuze, Talkwalker, and Verint Systems.
Google Cloud Platform research proposal is awarded.
