Source: Carlo Gutierrez, Altoros
With this open-source library, users can build, train, test, and run machine learning models entirely in a web browser or under Node.js.
Browser-based machine learning
With the availability of data and open-source machine learning (ML) frameworks like TensorFlow, interest in deploying ML models has grown over the years. Traditional machine learning systems, however, usually require some form of installation before being operational. For startups, data scientists, and individuals simply looking to lay their hands on ML, this can be a challenge.
At a recent TensorFlow meetup in London, Zack Akil, a Developer Advocate at Google, introduced attendees to TensorFlow.js, an ML framework for building and running lightweight models on a web browser. He also shared demos of ML models running on TensorFlow.js. Read entire article…