Google Announces New ‘Teachable Machine 2.0’ No-Code Machine Learning Model Generator
Two years on from its first incarnation, Google has announced the introduction of its ‘Teachable Machine 2.0’, a no-code custom machine learning model generating platform that can be used by anyone and requires no coding experience.
Back in 2017, Google introduced its first version of Teachable Machine which enabled anyone to teach their computer to recognise images using a webcam. This first version enabled many children and young people to gain their first experience of training their own machine learning model i.e. teaching their computer how to recognise patterns in data (images) and assign new data to categories.
Teachable Machine 2.0
Google’s new ‘Teachable Machine 2.0’ is a browser-based system that records from the user’s computer's webcam and microphone, and with the click of a ‘train’ button (no coding required), it can be trained to recognise images, sounds or poses. This enables the user to quickly and easily create their own custom machine learning models which they can download and use on their own device or upload and host online.
Fear-Busting and Confidence
One of the key points that Google wants to emphasise is that the no-code, click-of-a-button aspect of this machine learning model generator can instil confidence in young users that they are able to successfully use advanced computer technology creatively without coding experience. This, as Google mentions on its blog, has been identified as being important by parents of girls as girls face challenges in becoming interested in and finding available jobs in computer science.
What Can It Be Used For?
In addition to being used as a teaching aid, examples of how Teachable Machine 2.0 has been used include:
What Does This Mean For Your Business?
The UK has a tech skills shortage that has been putting pressure on UK businesses that are unable to find skilled people to drive innovation and tech product and service development forward. A platform that enables young people to feel more confident and creative in using the latest technologies from a young age without being thwarted by the need for coding could lead to more young people choosing computer science in further and higher education and seeking careers in IT. This, in turn, could help UK businesses.
No-coding solutions such as Teachable Machine 2.0 represent a way of democratising app and software development and utilising ideas and creativity that may have previously been suppressed by a lack of coding experience. Businesses always need creativity and innovation in order to create new opportunities and competitive advantage and Teachable Machine 2.0 may be one small step in helping that to happen further down the line.