5 years in the past, Google open-sourced TensorFlow for analysis and manufacturing.
“Our purpose was to increase entry to state-of-the-art machine studying instruments so anybody may use them,” the corporate mentioned in an announcement on Friday.
Since then, hundreds of individuals outdoors of Google have contributed code, created academic content material and organised developer occasions world wide to assist TensorFlow and the rising machine studying neighborhood.
TensorFlow helps a number of programming languages and environments.
You possibly can prepare your individual mannequin (with no coding required) utilizing the Teachable Machine.
As an example, you might educate a mannequin to acknowledge pictures, or sounds that you just report utilizing your microphone.
TensorFlow features a highly effective Python library.
TensorFlow Lite lets you construct machine learning-powered apps on cell and small embedded gadgets.
“A bunch of engineering college students in India used TensorFlow Lite to develop an Android app that gives native air high quality data utilizing a smartphone digicam,” Google mentioned.
TensorFlow Lite Micro permits you to run machine studying fashions on microcontrollers (tiny computers that may match within the palm of your hand).
TensorFlow additionally contains a big set of instruments and finest practices for Accountable AI, together with the What-If Device which assessments how machine studying fashions will work for various individuals in hypothetical conditions.
“TensorFlow features a full set of instruments to energy manufacturing ML programs, and even helps the most recent analysis in Quantum computing,” Google mentioned.
