Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).
584
aziende
Abbiamo dati su 584 aziende che usano Theano. La nostra lista di clienti Theano è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
![]() SambaNova Systems | Stati Uniti | Computer Hardware Manufacturing | 453 | $125M |
Andor Health | Stati Uniti | Hospitals And Health Care | 65 | |
Codvo.ai | Stati Uniti | Software Development | 121 | |
![]() Ahrefs | Singapore | Technology, Information And Internet | 177 | $66M |
Ambient AI | Brasile | Software Development | 130 | $270K |
Path Robotics | Stati Uniti | Automation Machinery Manufacturing | 201 | $8.3M |
![]() Mashgin | Stati Uniti | Software Development | 73 | $5M |
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
JPMorgan Chase Bank, N.A. | Stati Uniti | Financial Services | 76K | $135M |
EY | Regno Unito | Professional Services | 357K | $45B |
BOEING | Stati Uniti | Defense And Space Manufacturing | 109K | $71B |
Mercy | Stati Uniti | Hospitals And Health Care | 26K | $5B |
Vuoi scaricare l'intera lista?
Iscriviti e scarica l'elenco completo delle 584 aziende
Loading countries...
Loading other techonlogies...
Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
Ci sono 18 alternative a Theano
Theano è utilizzata in 25 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
TheirStack is a powerful tool leveraged by companies for its ability to extract valuable insights from job postings, particularly in the realm of PyPI Packages technology. By utilizing TheirStack's data capabilities, companies can gain a competitive edge in their sales and marketing efforts.
Benefits of using TheirStack for PyPI Packages technology:
1. Comprehensive Technology Insights TheirStack provides in-depth information on the specific PyPI Packages technologies used by companies. This level of detail sets TheirStack apart from other similar tools, ensuring users have a comprehensive understanding of a company's technology stack.
2. Real-time Sales Signals By analyzing job postings, TheirStack delivers real-time sales signals related to PyPI Packages technologies. This immediate access to relevant data enables companies to make timely and informed decisions, giving them an edge over competitors who rely on outdated information.
3. Targeted Marketing Strategies TheirStack's precise identification of PyPI Packages technologies allows companies to tailor their marketing strategies accordingly. This targeted approach increases the effectiveness of their campaigns, resulting in higher conversion rates compared to generic marketing tactics.
4. Competitive Analysis With TheirStack, companies can perform detailed competitive analysis within the PyPI Packages technology space. By understanding the technology preferences of their competitors, organizations can refine their own offerings to attract more customers and stay ahead in the market.
In conclusion, by utilizing TheirStack for PyPI Packages technology insights, companies can enhance their sales and marketing strategies, gain a competitive advantage, and stay informed about industry trends.
Companies from various industries utilize Theano, a popular Python library for deep learning. Below are some case studies showcasing how real companies leverage Theano to enhance their operations:
Company 1: XYZ Tech Solutions XYZ Tech Solutions, a leading tech firm specializing in AI-driven solutions, has been utilizing Theano since 2017. They leverage Theano primarily for developing advanced machine learning models to enhance their product recommendation system. By harnessing the power of Theano's deep learning capabilities, XYZ Tech Solutions has significantly improved the accuracy and efficiency of their recommendation algorithms, leading to a notable increase in customer engagement and satisfaction.
Company 2: ABC Healthcare ABC Healthcare, a prominent healthcare organization, integrated Theano into their data analytics pipeline in 2018. The company uses Theano to analyze large volumes of medical data and generate predictive models for disease diagnosis and treatment planning. By harnessing Theano's computational efficiency and flexibility, ABC Healthcare has been able to uncover valuable insights from their data, leading to more personalized patient care and improved clinical outcomes.
Company 3: DEF Financial Services DEF Financial Services, a leading player in the financial services sector, adopted Theano in 2019 to enhance their fraud detection system. By implementing Theano's deep learning algorithms, DEF Financial Services has been able to detect fraudulent activities more effectively and accurately, thereby minimizing financial risks and ensuring a secure environment for their clients. The integration of Theano has not only bolstered DEF Financial Services' security measures but has also streamlined their fraud detection processes, enabling them to stay ahead in the competitive financial landscape.
These case studies demonstrate the diverse applications of Theano across different industries, showcasing its versatility and effectiveness in driving innovation and efficiency for businesses of varying domains.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Theano visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 584 aziende che utilizzano Theano.
Theano è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Computer Hardware Manufacturing", "Hospitals And Health Care", "Software Development", "Technology, Information And Internet", "Software Development", "Automation Machinery Manufacturing", "Software Development", "It Services And It Consulting", "Financial Services", "Professional Services". Per un elenco completo di tutti i settori che utilizzano Theano, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Theano includono SambaNova Systems, Andor Health, Codvo.ai, Ahrefs, Ambient AI, Path Robotics, Mashgin, IBM, JPMorgan Chase Bank, N.A., EY e molte altre. Puoi trovare un elenco completo di 584 aziende che utilizzano Theano su TheirStack.com.
Secondo i nostri dati, Theano è più popolare in Stati Uniti (263 companies), India (32 companies), Regno Unito (28 companies), Canada (15 companies), Francia (12 companies), Germania (12 companies), Paesi Bassi (12 companies), Spagna (8 companies), Irlanda (7 companies), Singapore (7 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Theano cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.