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TensorFlow

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136 reviews
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4.5
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2016
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TensorFlow Reviews

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Jojo J.
JJ
Jojo J.
Software developer at Toyota Material Handling
04/30/2025
Validated Reviewer
Review source: Organic

Review about TensorFlow

I liked using TensorFlow due to its end-to-end interface. The data model building using Keras to powerful visualization supported the machine learning pipeline throughout my projects. TensorFlow heads built in tools for optimisation which was a huge plus and saves a lot of time.
Jothsna Sri Kathyayani C.
JC
Jothsna Sri Kathyayani C.
04/18/2025
Validated Reviewer
Verified Current User
Review source: Organic

TensorFlow is a Great Tool for Deep Learning

TensorFlow offers a powerful and flexible platform for building and deploying machine learning models, with strong support for deep learning which is really useful.
Swati G.
SG
Swati G.
Senior Data Scientist @ STOP THE TRAFFIK Group | Master's in Data Science with Distinction, University of Sussex | NLP | Generative AI | LLM | LinkedIn Top Data Science Voice
04/17/2025
Validated Reviewer
Verified Current User
Review source: Organic

Tensorflow Perfect Library with Strong Community support and Examples

I love TensorFlow as a data scientist I use it on daily basis. I have used it to train and tweak models. I create Production grade ML pipelines. I can get low level control support, I can integrate custom loss functions. There are thousands of examples with which we can use TensorFlow easily with new models.

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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