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Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Theano 被用于 34 个国家
我们掌握了关于使用Theano的635家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
Technology
is any of
Theano
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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美国 | Computer Hardware Manufacturing | 472 | $125M | Theano | |
美国 | Airlines And Aviation | 139K | $62B | Theano | |
美国 | Software Development | 137 |
| Theano | |
新加坡 | Technology, Information And Internet | 202 | $66M | Theano | |
印度 | Banking | 75K | $7.5B | Theano | |
巴西 | Software Development | 130 | $270K | Theano | |
美国 | Software Development | 85 | $5M | Theano | |
英国 | Software Development | 291 |
| Theano | |
美国 | Transportation, Logistics, Supply Chain And Storage | 1.5K | $78M | Theano | |
| Theano |
有 193 个 Theano 替代品
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常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息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。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Theano is a computational framework for deep learning that allows for the creation, optimization, and evaluation of mathematical expressions involving multi-dimensional arrays efficiently. It is specifically designed to handle tasks related to machine learning algorithms, particularly in the field of artificial intelligence. Theano is known for its speed and scalability, making it a popular choice among developers and researchers working on complex modeling and data analysis projects.
The category of Theano falls under PyPI Packages, which refers to Python packages available in the Python Package Index repository. As a PyPI Package, Theano provides a comprehensive set of tools and functions for implementing deep learning models in Python, enabling users to leverage the power of computational graphs and symbolic mathematics in their projects. The integration of Theano with popular deep learning libraries like TensorFlow and Keras further enhances its usability and flexibility within the Python ecosystem.
Theano was founded in 2007 by a team of researchers at the Université de Montréal, including Yoshua Bengio, Pascal Lamblin, and others. Their motivation behind developing Theano was to create a versatile platform for expressing and optimizing mathematical computations, particularly in the context of deep learning and neural networks. Over the years, Theano has gained traction in the machine learning community and has been widely adopted for research and industrial applications.
In terms of current market share, Theano has faced challenges with the emergence of newer deep learning frameworks such as TensorFlow and PyTorch, which offer more advanced features and better support. As a result, Theano's market share has seen a decline in recent years. However, with ongoing community support and potential updates, Theano could still maintain its relevance in specific niche areas within the deep learning landscape.
您可以访问 TheirStack.com,获取使用 Theano 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 635 家使用 Theano 的公司的数据。
Theano 被广泛应用于包括 "Computer Hardware Manufacturing", "Airlines And Aviation", "Software Development", "Technology, Information And Internet", "Banking", "Software Development", "Software Development", "Software Development", "Transportation, Logistics, Supply Chain And Storage" 在内的各个行业的各种组织中。欲了解所有使用 Theano 的行业的完整列表,请访问 TheirStack.com。
一些使用Theano的公司包括SambaNova Systems, Boeing, Codvo.ai, Ahrefs, Kotak Mahindra Bank, Ambient AI, Mashgin, Tractable, Trinity, AHREFS PTE. LTD.以及更多公司。您可以在TheirStack.com上找到使用Theano的635家公司完整列表。
根据我们的数据,Theano 在 美国 (253 companies), 英国 (32 companies), 印度 (29 companies), 法国 (15 companies), 加拿大 (13 companies), 荷兰 (12 companies), 德国 (10 companies), 西班牙 (9 companies), 新加坡 (8 companies), 澳大利亚 (6 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Theano,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。