Google just launched its latest solution for developers creating machine learning systems: the Cloud AutoML.

Yesterday, tech giant Google announced its latest solution, the Cloud AutoML, that will enable developers, even those that lack machine learning expertise, to build image recognition models. It is said to be a part of the company’s initiative to democratize AI learning and provide a simple approach that anyone can easily understand.

“Our goal was to lower the barrier of entry and make AI available to the largest possible community of developers, researchers and businesses,” Fei-Fei Li, Google Cloud AI chief scientists, and Jia Li, Google Cloud AI Head of R&D, wrote in the company blog.

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According to the duo, their latest solution would help businesses with limited machine learning expertise build “their own high-quality custom models by using advanced techniques like learning2learn and transfer learning from Google.”

The two believe that Cloud AutoML will make experts in artificial intelligence more productive and take the technology to greater heights while helping less-skilled engineers build more powerful machine learning systems.

What is Cloud AutoML

Google’s Cloud AutoML is a suite of machine learning products that will let inexperienced developers build custom ML models by using the company’s alleged latest transfer learning and Neural Architecture Search technology. The first product to be launched under this solution is the AutoML Vision.

“Our first Cloud AutoML release will be Cloud AutoML Vision, a service that makes it faster and easier to create custom ML models for image recognition.”

While it is clear that Google aims to explore the potential and expand the capabilities of its product, for now, it only supports computer vision models. The company’s ML builder is not as sophisticated as other machine learning solutions, but its primary goal is to make AI less painful to code.

“Currently, only a handful of businesses in the world have access to the talent and budgets needed to fully appreciate the advancements of ML and AI. There’s a very limited number of people that can create advanced machine learning models,” Fei-Fei and Jia Li said

How Cloud AutoML works
How Cloud AutoML works | TechCruch | techcrunch.com

Cloud AutoML Vision offers a simple graphical interface that will allow users to upload their images and have Google’s systems create customized machine learning models based on them.

“Its drag-and-drop interface lets you easily upload images, train and manage models, and then deploy those trained models directly on Google Cloud,” the two went on to say.

Here’s a summary of what AutoML Vision has to offer:

  • Increased accuracy: Cloud AutoML Vision is built on Google’s leading image recognition approaches, including transfer learning and neural architecture search technologies. This means you’ll get a more accurate model even if your business has limited machine learning expertise.
  • Faster turnaround time to production-ready models: With Cloud AutoML, you can create a simple model in minutes to pilot your AI-enabled application, or build out a full, production-ready model in as little as a day.
  • Easy to use: AutoML Vision provides a simple graphical user interface that lets you specify data, then turns that data into a high-quality model customized for your specific needs.

Will you try Google’s Cloud AutoML Vision to develop AI-based applications for your business? Why or why not? Let us know your answer in the comment section below!

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