“Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets to design neural nets.”
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models with an easy-to-use graphical interface. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology.
Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions.
Train image classification and object detection models based on your images and labels.
Train classification and object tracking models based on your videos and labels.
Train your models to classify documents by labels you define and perform accurate sentiment analysis.
Create your translation models to dynamically detect and translate between languages.
What are you trying to solve?
We apply our ML expertise to help you overcome your toughest obstacles.