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Straightforward mannequin constructing
TensorFlow gives a number of ranges of abstraction so you may select the fitting one on your wants. Construct and practice fashions through the use of the high-level Keras API, which makes getting began with TensorFlow and machine studying straightforward.

Should you want extra flexibility, keen execution permits for fast iteration and intuitive debugging. For big ML coaching duties, use the Distribution Technique API for distributed coaching on totally different {hardware} configurations with out altering the mannequin definition.

Strong ML manufacturing wherever
TensorFlow has all the time offered a direct path to manufacturing. Whether or not it’s on servers, edge gadgets, or the net, TensorFlow allows you to practice and deploy your mannequin simply, it doesn’t matter what language or platform you utilize.

Use TensorFlow Prolonged (TFX) when you want a full manufacturing ML pipeline. For working inference on cell and edge gadgets, use TensorFlow Lite. Prepare and deploy fashions in JavaScript environments utilizing TensorFlow.js.

Highly effective experimentation for analysis
Construct and practice state-of-the-art fashions with out sacrificing pace or efficiency. TensorFlow offers you the flexibleness and management with options just like the Keras Practical API and Mannequin Subclassing API for creation of complicated topologies. For straightforward prototyping and quick debugging, use keen execution.

TensorFlow additionally helps an ecosystem of highly effective add-on libraries and fashions to experiment with, together with Ragged Tensors, TensorFlow Likelihood, Tensor2Tensor and BERT.

Discover our TensorFlow Trusted Associate Pilot Program
We’re piloting a program to attach companies with system integrators who’re skilled in machine studying options, and can assist you innovate sooner, resolve smarter, and scale greater.

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