What Is So Good About Tensorflow

Source wikipedia.com
  • Tensorflow for machine learning on desktop. Tensorflow for desktop application, first of all lets put google collaboration aside to discuss this one. Tensorflow mainly is a library for Python and C family language. Which are widely used as data science tools a long with python jupyter notebook to analyst or build a model to make certain prediction cases.
  • TensorFlow.js for machine learning on the web. Is a JavaScript library for training and deploying machine learning models in the browser. This library provides flexible and intuitive APIs to build and train new and pre-existing models from scratch right in the browser or under Node.js. Amazingly we also could convert Desktop model or HDF5 file to json file that later will be consumed by Tersorflow.js.
  • TensorFlow Lite for mobile and embedded ML. It is a TensorFlow lightweight solution that can be used for mobile and embedded devices. It is fast since it enables on-device machine learning inference with low latency. It also supports hardware acceleration with the Android Neural Networks API. It is not even stop there, the future releases of TensorFlow Lite will bring more built-in operators, performance improvements, and will support more models to increase the developer’s experience of deploying machine learning services within mobile devices.

TensorFlow Hub for reusable machine learning

Vizualization

Conclusion

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