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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well. For information on using TensorFlow, see the TensorFlow website.

Why AI in JavaScript?

Although data scientists tend to prefer Python for AI development, JavaScript does offer several advantages on both the client and server:

The large community of JavaScript developers can be effective in using AI on the large scale. The smaller footprint and fast start time of Node.js can be an advantage when deployed in containers and IoT devices. AI models process voice, written text, and images, and when the models are served in the cloud, the data must be sent to a remote server. Data privacy has become a significant concern recently, so being able to run the model locally on the client with JavaScript can help to alleviate this concern. Running a model locally on the client can help make browser apps more interactive.

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