TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
21,976
companies
Technology
is any of
TensorFlow
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
 United States | Software Development | 290K | $280B | TensorFlow | |
United States | Financial Services | 76K | $135M | TensorFlow | |
United States | Entertainment Providers | 69K | $4.6B | TensorFlow | |
 United Kingdom | Professional Services | 357K | $45B | TensorFlow | |
United States | Retail | 10K | $50M | TensorFlow | |
United States | Retail | 2.3M | $611B | TensorFlow | |
Business Consulting And Services | 437K | $59B | TensorFlow | ||
United States | Motor Vehicle Manufacturing | 167K | $161B | TensorFlow | |
11 |
| TensorFlow | |||
United States | It Services And It Consulting | 39K | $8.1B | TensorFlow | |
 Germany | Software Development | 126K | $33B | TensorFlow | |
Banking | 10K |
| TensorFlow |
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We have data on 21,976 companies that use TensorFlow. Our TensorFlow customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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Technoloy Usage Stadistics and Market Share
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There are 95 alternatives to TensorFlow
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
TensorFlow is an open-source machine learning library developed by Google for building various machine learning models. It provides a comprehensive ecosystem of tools, libraries, and community resources that enable developers to easily deploy machine learning solutions. TensorFlow is renowned for its flexibility and scalability, making it ideal for both research and production-level deployment of machine learning algorithms.
TensorFlow falls under the category of Machine Learning Tools, offering a robust framework for developing and training machine learning models across a wide range of applications. From image and speech recognition to natural language processing and recommendation systems, TensorFlow empowers developers to create cutting-edge AI solutions with ease.
Founded by Google Brain Team researchers in 2015, TensorFlow's inception aimed to address the need for a flexible, efficient, and scalable machine learning framework that could meet the demands of both research and industry. With a focus on usability and performance, TensorFlow quickly gained popularity within the machine learning and data science communities.
Currently, TensorFlow holds a substantial market share in the Machine Learning Tools category, with a significant user base spanning from individual developers to large enterprises. With the continuous advancement of machine learning technologies and the increasing adoption of AI solutions across industries, the market share of TensorFlow is expected to grow further in the future. Its robust features, extensive documentation, and active community support position TensorFlow as a leading choice for machine learning enthusiasts and professionals alike.
You can access an updated list of companies using TensorFlow by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 21,976 companies that use TensorFlow.
TensorFlow is used by a diverse range of organizations across various industries, including "Software Development", "Financial Services", "Entertainment Providers", "Professional Services", "Retail", "Retail", "Business Consulting And Services", "Motor Vehicle Manufacturing", "It Services And It Consulting". For a comprehensive list of all industries utilizing TensorFlow, please visit TheirStack.com.
Some of the companies that use TensorFlow include Google, JPMorgan Chase Bank, N.A., TikTok, EY, Amazon.com, Walmart, Deloitte, General Motors, Nodeflair, Booz Allen Hamilton and many more. You can find a complete list of 21,976 companies that use TensorFlow on TheirStack.com.
Based on our data, TensorFlow is most popular in United States (6,157 companies), United Kingdom (1,226 companies), Germany (676 companies), India (669 companies), France (484 companies), Canada (481 companies), Spain (440 companies), Netherlands (192 companies), Brazil (191 companies), Australia (172 companies). However, it is used by companies all over the world.
You can find companies using TensorFlow by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
TensorFlow is used in 110 countries
