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TensorFlow AI Tool Features, Use Cases & Alternatives

TensorFlow

TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.

TensorFlow Details

TensorFlow Info

Organization:
TensorFlow
Type:
  1. Business AI
Marked As:
SFW (Safe for Work)
Platform:
  1. Open Source
Pricing:
  1. Free
Try for Free
Rating:
3.7
(3 Likes)

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What is TensorFlow?

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

Get the TensorFlow Buyer’s Guide and find out what your peers are saying about TensorFlow, Google Vertex AI, Microsoft Azure Machine Learning Studio and more!

TensorFlow is the #6 ranked solution in top AI Development Platforms. PeerSpot users give TensorFlow an average rating of 8.8 out of 10. TensorFlow is most commonly compared to Google Vertex AI: TensorFlow vs Google Vertex AI. TensorFlow is popular among the large enterprise segment, accounting for 65% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 14% of all views.

TensorFlow truly makes the task of creating machine learning models easy, allowing them to operate smoothly on different platforms, be it cloud servers or mobile devices.

It has a user-friendly interface that allows you to create, train, and deploy models quickly. TensorFlow offers practical experience for grasping important ideas and executing complex ML processes most efficiently by providing useful snippets of code.

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