Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular options is TensorFlow, a machine learning library that Google open-sourced a year ago.
In my recent review of TensorFlow, I described the library and discussed its advantages, but only had about 300 words to devote to how to begin using Google’s “secret sauce” for machine learning. That isn’t enough to get you started.
In this article, I’ll give you a very quick gloss on machine learning, introduce you to the basics of TensorFlow, and walk you through a few TensorFlow models in the area of image classification. Then I’ll point you to additional resources for learning and using TensorFlow.
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