Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是TensorFlow.js？

Accepted Answer

TensorFlowjs is a cuttingedge technology in the field of Machine Learning Tools that brings the power of machine learning directly to web browsers and Nodejs applications It allows developers to deploy machine learning models for inference in JavaScript environments enabling tasks such as image and speech recognition natural language processing and more directly within the browser without the need for serverside processing

TensorFlowjs falls under the category of Machine Learning Tools offering a unique approach by seamlessly integrating machine learning capabilities with JavaScript a popular programming language for web development This integration opens up new possibilities for creating interactive and intelligent web applications that can leverage machine learning algorithms for realtime decisionmaking and analysis

The history of TensorFlowjs dates back to its initial release by Google Brain the research team at Google in 2018 The motivation behind the development of TensorFlowjs was to democratize access to machine learning by making it more accessible and easier to implement for a wider range of developers particularly those working in web development Since its inception TensorFlowjs has gained significant traction in the industry with a growing community of developers and enthusiasts embracing its capabilities for diverse projects

In terms of current market share TensorFlowjs holds a substantial position within the Machine Learning Tools category with a strong presence in the developer community and widespread adoption for various applications As the demand for machine learning capabilities in web development continues to rise it is forecasted that TensorFlowjs will experience further growth in the future driven by its versatility performance and the ongoing advancements in machine learning technologies

Question 4

如何获取使用TensorFlow.js的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 TensorFlow.js 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

TensorFlow.js 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用TensorFlow.js的289家公司的数据。

Question 6

谁在使用TensorFlow.js？

Accepted Answer

TensorFlow.js 被广泛应用于各行各业的各类组织，包括 "Software Development", "Real Estate", "Research Services", "Software Development", "Financial Services", "Software Development", "IT Services and IT Consulting", "Hospitals and Health Care", "Software Development", "Business Consulting and Services"。如需查看使用 TensorFlow.js 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用TensorFlow.js？

Accepted Answer

使用TensorFlow.js的公司包括Meetsta, Pulppo, Stability AI, ProCrew, Facet, YEO Messaging, Clearsale, Vitalchat, Constellation Technologies, Accenture等更多公司。你可以在TheirStack.com上找到使用TensorFlow.js的289家公司的完整列表。

Question 8

在哪些国家 TensorFlow.js 使用得最多？

Accepted Answer

根据我们的数据，TensorFlow.js 在 挪威 (1 companies), 葡萄牙 (1 companies), 摩洛哥 (1 companies), 圣基茨和尼维斯 (1 companies), 越南 (1 companies), 西班牙 (4 companies), 新加坡 (1 companies), 爱尔兰 (1 companies), 巴西 (4 companies), 南非 (1 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用TensorFlow.js的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 TensorFlow.js，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

公司	国家	行业	员工	收入	技术
Meetsta	美国	Software Development	0		TensorFlow.js
Pulppo	墨西哥	Real Estate	70		TensorFlow.js
Stability AI	英国	Research Services	185	$1.2M	TensorFlow.js
ProCrew	埃及	Software Development	74		TensorFlow.js
Facet	美国	Financial Services	240		TensorFlow.js
YEO Messaging	英国	Software Development	17		TensorFlow.js
Clearsale	巴西	IT Services and IT Consulting	2.6k	$50M	TensorFlow.js
Vitalchat	美国	Hospitals and Health Care	0		TensorFlow.js
Constellation Technologies	美国	Software Development	9		TensorFlow.js
Accenture	爱尔兰	Business Consulting and Services	738k	$63B	TensorFlow.js

使用 TensorFlow.js 的公司