使用MXNet的公司
A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
使用MXNet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\": [
\"mxnet\"
]
}"Technology
is any of
MXNet
员工数760kSoftware DevelopmentMXNet中置信度
员工数96k收入$4.6BEntertainment ProvidersMXNet中置信度
员工数147kIT Services and IT ConsultingMXNet中置信度
员工数50k收入$62BSoftware DevelopmentMXNet中置信度
员工数412k收入$45BProfessional ServicesMXNet中置信度
员工数53k收入$27BComputer Hardware ManufacturingMXNet中置信度
员工数244kFinancial ServicesMXNet中置信度- 员工数1.5M收入$3MIT Services and IT ConsultingMXNet中置信度
员工数40k收入$8.1BIT Services and IT ConsultingMXNet中置信度
员工数7.5k收入$757MMotor Vehicle ManufacturingMXNet中置信度
我们拥有关于1,171家公司和用户使用MXNet的数据。我们的MXNet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 MXNet 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。
MXNet is an open-source deep learning framework that is widely used in the field of machine learning. It provides a flexible and efficient programming interface for a variety of tasks including image and language processing, among others. MXNet is known for its scalability, which allows users to easily train and deploy deep learning models across multiple GPUs and CPUs, making it a popular choice for both research and production-level projects.
MXNet falls under the category of Machine Learning Tools, specifically deep learning frameworks. It enables developers and data scientists to build and deploy advanced machine learning models with ease. MXNet's comprehensive set of tools, libraries, and community support make it a powerful platform for those working in the field of artificial intelligence and deep learning.
MXNet was founded in 2014 by a team of researchers from the Apache Software Foundation, with the goal of creating a scalable and flexible deep learning framework that could keep pace with the rapid advancements in the field. Since its inception, MXNet has gained a strong following in the machine learning community, with major tech companies like Amazon Web Services adopting it for their deep learning initiatives. The team behind MXNet continues to actively develop and improve the framework, ensuring it remains competitive in the rapidly evolving landscape of deep learning technologies.
In the current market, MXNet holds a significant share within the machine learning tools category, especially in applications requiring scalability and performance. As the demand for deep learning solutions continues to grow, MXNet is poised to expand its market share further. With ongoing enhancements and integrations with cutting-edge technologies, MXNet is forecasted to maintain and potentially increase its market position in the foreseeable future.