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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.
850
Unternehmen
Wir haben Daten zu 850 Unternehmen, die MXNet verwenden. Unsere MXNet Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Amazon.com | Vereinigte Staaten | Retail | 10K | $50M |
Amazon.com Services LLC | Vereinigte Staaten | Retail | 10K | $50M |
TikTok | Vereinigte Staaten | Entertainment Providers | 67K | $4.6B |
Amazon Web Services, Inc. | Vereinigte Staaten | It Services And It Consulting | 1.5M | $3M |
Fidelity Investments | Vereinigte Staaten | Financial Services | 77K | $25B |
ByteDance | China, Volksrepublik | Software Development | 42K | $62B |
EY | Vereinigtes Königreich | Professional Services | 357K | $45B |
![]() Amazon | Vereinigte Staaten | Software Development | 770K | |
Lucid Motors | Vereinigte Staaten | Motor Vehicle Manufacturing | 6.1K | $757M |
myGwork - LGBTQ+ Business Community | Vereinigtes Königreich | Technology, Information And Internet | 153 | |
NVIDIA | Vereinigte Staaten | Computer Hardware Manufacturing | 32K | $27B |
IBM | Vereinigte Staaten | It Services And It Consulting | 309K | $61B |
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MXNet wird in 36 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
MXNet is a powerful and versatile deep learning framework that companies utilize to drive innovation and enhance their machine learning capabilities. With its flexibility, scalability, and efficiency, MXNet has become a top choice for organizations looking to harness the potential of artificial intelligence in their operations.
MXNet provides seamless scalability across multiple GPUs and even across different machines, allowing companies to efficiently distribute workloads and handle large datasets with ease. This scalability sets MXNet apart from other similar technologies by enabling organizations to train complex models faster and more cost-effectively.
MXNet is known for its high performance and efficiency in executing deep learning algorithms, making it ideal for handling complex tasks with speed and accuracy. Compared to other frameworks, MXNet's optimization techniques ensure that companies can achieve superior results in less time, enhancing productivity and output quality.
One key advantage of MXNet is its support for dynamic computation graphs, which enable companies to build and modify neural network architectures on the fly. This dynamic approach offers more flexibility and adaptability compared to static graph frameworks, allowing businesses to iterate and innovate more swiftly in response to evolving requirements.
MXNet offers seamless integration with popular programming languages such as Python, making it easy for developers and data scientists to work with familiar tools and libraries. This ease of integration simplifies the deployment and maintenance of machine learning models, streamlining workflows and increasing overall efficiency.
MXNet, an open-source deep learning framework, is widely adopted by various companies across different industries for building and deploying machine learning models. Below are some compelling case studies showcasing how companies leverage MXNet to enhance their business operations and drive growth:
1. Amazon Amazon, one of the tech giants, is known for utilizing cutting-edge technologies to improve customer experience and optimize processes. The company uses MXNet for various machine learning tasks, such as recommendation systems, natural language processing, and computer vision. Amazon started incorporating MXNet into its infrastructure in 2016, leveraging its scalability and flexibility to handle large-scale data processing efficiently.
2. Adobe Adobe, a leading software company, has integrated MXNet into its suite of creative and marketing solutions to empower users with advanced AI capabilities. By utilizing MXNet, Adobe enables users to leverage machine learning algorithms for image and video analysis, content personalization, and predictive analytics. The collaboration between Adobe and MXNet started in 2018, with a focus on enhancing the functionality of Adobe's products through deep learning techniques.
3. Autodesk Autodesk, a prominent player in the design and engineering software industry, relies on MXNet to drive innovation and efficiency in its products and services. The company uses MXNet for developing intelligent design tools, simulating real-world scenarios, and optimizing workflow processes. Autodesk integrated MXNet into its operations back in 2017, recognizing the potential of deep learning frameworks in revolutionizing the future of design and engineering software.
These case studies highlight the diverse applications of MXNet in real-world business settings, emphasizing its role in enabling companies to harness the power of machine learning for improved decision-making, automation, and product innovation. By leveraging MXNet's advanced capabilities, companies like Amazon, Adobe, and Autodesk have demonstrated the transformative impact of deep learning technologies on driving business success and staying competitive in today's dynamic market landscape.
Sie können eine aktuelle Liste von Unternehmen, die MXNet verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 850 Unternehmen, die MXNet verwenden.
MXNet wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Retail", "Retail", "Entertainment Providers", "It Services And It Consulting", "Financial Services", "Software Development", "Professional Services", "Software Development", "Motor Vehicle Manufacturing", "Technology, Information And Internet", verwendet. Für eine umfassende Liste aller Branchen, die MXNet nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die MXNet verwenden, umfassen Amazon.com, Amazon.com Services LLC, TikTok, Amazon Web Services, Inc., Fidelity Investments, ByteDance, EY, Amazon, Lucid Motors, myGwork - LGBTQ+ Business Community und viele mehr. Sie können eine vollständige Liste von 850 Unternehmen, die MXNet nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist MXNet am beliebtesten in Vereinigte Staaten (386 companies), Vereinigtes Königreich (47 companies), Indien (30 companies), Kanada (22 companies), Frankreich (20 companies), Deutschland (16 companies), Singapur (11 companies), China, Volksrepublik (8 companies), Spanien (8 companies), Japan (7 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die MXNet verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.