使用Gluon的公司
A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.
使用Gluon的公司列表
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\": [
\"gluon\"
]
}"Technology
is any of
Gluon
员工数201IT Services and IT ConsultingGluon高置信度
员工数52k收入$23BSemiconductor ManufacturingGluon中置信度
员工数41k收入$1.5BIT Services and IT ConsultingGluon中置信度
员工数239Technical and Vocational TrainingGluon中置信度
员工数4.7kIT Services and IT ConsultingGluon中置信度
员工数360IT Services and IT ConsultingGluon中置信度
员工数700IT Services and IT ConsultingGluon中置信度
员工数366IT Services and IT ConsultingGluon中置信度
员工数300Professional ServicesGluon中置信度
员工数88IT Services and IT ConsultingGluon中置信度
我们拥有关于233家公司和用户使用Gluon的数据。我们的Gluon用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Gluon 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Gluon is a cutting-edge technology in the realm of Machine Learning Tools that has revolutionized the way developers and data scientists interact with deep learning algorithms. It is an open-source deep learning interface that allows for easy model building, training, and deployment. With Gluon, users can define neural networks using simple, concise code, making complex machine learning tasks more accessible to a wider audience. The technology abstracts away many of the complexities traditionally associated with deep learning frameworks, enabling rapid experimentation and prototyping.
In the domain of Machine Learning Tools, Gluon stands out as a user-friendly and efficient solution for tackling intricate deep learning projects. By providing a high-level interface that integrates seamlessly with popular deep learning frameworks like Apache MXNet and TensorFlow, Gluon streamlines the development process and empowers users to focus on the core aspects of their models rather than the technical minutiae. Its versatility and scalability make it an invaluable tool for organizations looking to leverage machine learning capabilities for various applications.
Founded in 2017 by a collaboration between Amazon Web Services and Microsoft, Gluon was motivated by the desire to simplify deep learning workflows and make them more accessible to a broader audience. By combining the expertise and resources of two tech giants, Gluon emerged as a powerful tool that bridges the gap between research and practical implementation in the field of artificial intelligence. Since its inception, Gluon has garnered significant attention within the tech community for its innovative approach to deep learning model development.
As of the latest data on market share within the Machine Learning Tools category, Gluon has been steadily gaining traction among developers and data scientists. With its intuitive interface and robust capabilities, Gluon is poised for continued growth in the foreseeable future. The increasing demand for efficient deep learning solutions bodes well for Gluon's expansion in the market, indicating a positive outlook for its market share trajectory. As organizations increasingly embrace machine learning technologies, Gluon is well-positioned to solidify its presence and potentially capture a larger market share within the competitive landscape of Machine Learning Tools.