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TensorFlow

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136 reviews
  • 1 profiles
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Average star rating
4.5
Serving customers since
2016
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TensorFlow Reviews

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Profile Name
Star Rating
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3
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Anurag S.
AS
Anurag S.
10/05/2025
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

helped me though various of my ML projects although version compatibility does becomes an issue.

extensive ecosystem of integrations specially with technologies like Keras and Numpy that hep immensely in model development. Easy deployment and model training is also a good to have feature for various platforms.
Bilal R.
BR
Bilal R.
Data Engineer | Machine Learning Enthusiast | Bridging Data and Machine Learning Worlds
08/03/2025
Validated Reviewer
Review source: G2 invite

my goto library for ml

Its is very good for quickly building and testing ml models.It is open source.
Leonardo S.
LS
Leonardo S.
Senior Software Engineer | Developer Evangelist | 6X Cloud Certified (Azure / AWS / GCP / Red Hat) | Real Estate Investor
07/31/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

My go to place to machine learning stuff

I like the strong community sense, the fact that is production ready not just one of the so many gitlab repos out there

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What is TensorFlow?

TensorFlow is an open-source software library developed by the Google Brain team that enables developers and researchers to build and train machine learning models efficiently and effectively. Designed with flexibility and scalability in mind, TensorFlow supports a range of tasks primarily focused on training and inference of deep neural networks. It supports various programming languages, including Python, which is the most commonly used.TensorFlow provides comprehensive tools, libraries, and community resources that allow researchers to advance ML technology and developers to easily build and deploy ML-powered applications. It is known for its robust support of both CPU and GPU computation, which allows for the distributed processing necessary for large-scale neural networks.Beyond its core capabilities for creating sophisticated machine learning models, TensorFlow also offers TensorFlow Extended (TFX) for production environments, TensorFlow Lite for mobile and embedded deployments, and TensorFlow.js for machine learning in the browser or on Node.js.TensorFlow's extensive features and ongoing evolution make it a preferred choice for both academia and industry, powering projects from small-scale applications to large-scale enterprise solutions.Explore more about TensorFlow and its capabilities by visiting [https://www.tensorflow.org](https://www.tensorflow.org).

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Year Founded
2016