Companies that use Caffe
It is a deep learning framework made with expression, speed, and modularity in mind.
2,778
companies
List of companies using Caffe
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"caffe\"
]
}"Technology
is any of
Caffe
Employees246kHospitalityCaffeHigh confidence
Employees3.3kRevenue$340MHospitalityCaffeHigh confidence
Employees293kComputer Hardware ManufacturingCaffeHigh confidence
Employees7.4kRevenue$2.4BRetail Apparel and FashionCaffeHigh confidence
Employees819RestaurantsCaffeHigh confidence
Employees830Revenue$28MProfessional Training and CoachingCaffeHigh confidence
Employees4Revenue$3.7MRestaurantsCaffeHigh confidence
Employees528Non-profit OrganizationsCaffeHigh confidence
Employees282Events ServicesCaffeHigh confidence
Employees63Revenue$8MSoftware DevelopmentCaffeHigh confidence
We have data on 2,778 companies and users that use Caffe. Our Caffe users and 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.
Technology Usage Statistics and Market Share
How to target Caffe users
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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.
Caffe is a deep learning framework developed for image recognition tasks, allowing users to create, train, and deploy neural networks efficiently. It is known for its speed and modularity, making it a popular choice among researchers and industry professionals alike. Caffe offers a seamless workflow for designing convolutional neural networks (CNNs) and implementing them in production environments with ease.
In the realm of Machine Learning Tools, Caffe falls under the category of deep learning frameworks. It specifically focuses on computer vision tasks and excels in image classification and object detection. With its user-friendly interface and optimized performance, Caffe empowers users to tackle complex visual recognition challenges effectively. Its seamless integration with GPUs enhances the speed and efficiency of training deep neural networks.
Founded in 2013 by Yangqing Jia at the University of California, Berkeley, Caffe originated from the need for a fast and flexible deep learning framework tailored for image classification tasks. Jia's motivation stemmed from the limitations of existing tools in terms of speed and ease of use. The release of Caffe marked a significant advancement in the field of deep learning, garnering attention for its innovative approach and robust capabilities.
In the current market scenario, Caffe continues to hold a substantial market share within the Machine Learning Tools category, particularly in the domain of computer vision applications. With the rising demand for AI-driven solutions in various industries, the outlook for Caffe appears optimistic. As the adoption of deep learning technologies continues to grow, Caffe is poised to maintain and potentially expand its market presence in the future.