Machine Learning & Scientific Python

TensorFlow

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01 / Overview

What is TensorFlow?

TensorFlow builds and deploys machine-learning models through an open-source development platform.

Who is TensorFlow for?

Teams evaluating TensorFlow for machine learning & scientific python workflows, particularly model training and model deployment. Check the edition and intended deployment before selecting a package.

02 / Capabilities

TensorFlow features

The core capabilities to consider for your workflow.

  • Model training
  • Model deployment
  • Machine-learning libraries
03 / Plans & costs

TensorFlow pricing

Plan availability

Open-source software

Review the software licence and distribution, then scope infrastructure, maintenance and support. Commercial hosting, proprietary extensions and managed services can be priced separately.

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Free access & evaluation

An open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.

04 / Buying checklist

Before you choose TensorFlow

  • Is the task numerical analysis, model training, experiment tracking, model serving or ongoing monitoring?

  • Which languages, hardware, model formats, deployment targets and operating costs must be supported?

05 / Related software

Explore related software

06 / Questions answered

TensorFlow FAQs

Does TensorFlow have a free plan?

An open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.

Who is TensorFlow for?

Teams evaluating TensorFlow for machine learning & scientific python workflows, particularly model training and model deployment. Check the edition and intended deployment before selecting a package.

What should I compare before buying?

Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.