In early 2017, the Raspberry Pi Foundation announced a Google developer survey, which requested feedback from the maker community on what tools they wanted on the Raspberry Pi. The blog post says that Google has developed tools for machine learning, IoT, wearables, robotics, and home automation, and that the survey mentions face- and emotion-recognition, speech-to-text translation, natural language processing, and sentiment analysis. “The survey will help them get a feel for the Raspberry Pi community, but it’ll also help us get the kinds of services we need,” the post explains. Meanwhile, data scientists aren’t waiting around to put Google’s TensorFlow, an open source software library for machine learning, to work on the Raspberry Pi.
Let’s take a look at a few cool examples of machine learning with TensorFlow on the Raspberry Pi.
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