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It is an API/platform that makes enhancing software with machine learning simple. With powerful out-of-the-box models, easy custom uploads, and scalable infrastructure it has everything you need.
6
entreprises
Nous disposons de données sur 6 entreprises qui utilisent Backprop. Notre liste de clients Backprop est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
PubMatic | États-Unis | Technology, Information And Internet | 1.2K | $227M |
ENGINE Group | Australie | Advertising Services | 22 | $25M |
CNRS | France | Government Administration | 20K | $675M |
Fraunhofer-Gesellschaft | Allemagne | Non-Profit Organizations | 10K | $42M |
TU Delft | Pays-Bas | Education | 6K | $20M |
Tealium | États-Unis | Software Development | 1K | $100M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
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Backprop est utilisé dans 5 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Backprop is a critical algorithm in the field of machine learning, specifically neural networks. It is an abbreviation for "backpropagation," which refers to the method used for training artificial neural networks by calculating the gradient of the loss function with respect to the weights of the network. This process allows the network to adjust its parameters iteratively to minimize errors in its predictions, ultimately improving its performance over time. Backprop has revolutionized the field of deep learning by enabling more complex and efficient training of neural networks.
Machine Learning Tools, the category to which Backprop belongs, encompasses a wide range of software and algorithms that facilitate the development, training, and deployment of machine learning models. Backprop plays a significant role in this category by serving as a fundamental component in training neural networks, which are essential in various machine learning tasks such as image recognition, natural language processing, and predictive analytics. Its effectiveness in optimizing neural network training sets it apart as a crucial tool in the machine learning domain.
Backprop was first introduced in the 1970s by researchers at Stanford University, including Paul Werbos and David Rumelhart, as a method to train neural networks more efficiently. Their goal was to address the challenges of training deep neural networks by propagating error gradients backward through the network to update the connection weights. Since its inception, Backprop has become one of the foundational algorithms in the realm of deep learning, contributing significantly to the advancement of artificial intelligence.
In terms of current market share, Backprop remains a fundamental algorithm in the machine learning tools category, with a steady presence in both research and industry applications. As the demand for advanced machine learning solutions continues to grow across various sectors, the relevance and importance of Backprop are expected to increase as well. With ongoing research efforts focused on optimizing neural network training and the scalability of deep learning models, Backprop is poised to maintain its market share and potentially capture a larger share of the market in the future.
Backprop is a crucial technology within the realm of Machine Learning Tools that companies use to drive their data insights and decision-making processes. Its sophisticated algorithms and neural networks enable organizations to optimize their operations, enhance customer experiences, and gain a competitive edge in the market.
Backprop stands out for its exceptional predictive capabilities, allowing companies to forecast trends, identify patterns, and make informed decisions with a high level of accuracy. Unlike traditional machine learning approaches, Backprop leverages deep learning techniques to handle complex datasets and extract valuable insights, empowering businesses to anticipate market changes and customer behavior more effectively.
One of the key benefits of Backprop is its ability to streamline the model training process, reducing time and resources required to develop and deploy machine learning models. By iteratively adjusting weights and biases in neural networks, Backprop accelerates the convergence towards optimal solutions, outperforming other technologies in terms of efficiency and performance.
Backprop offers scalability and adaptability, enabling companies to easily scale their machine learning initiatives as their business grows and requirements evolve. Its versatile architecture and flexibility in handling diverse datasets make it a preferred choice for organizations seeking dynamic and customizable solutions to meet their specific needs and objectives.
Backprop is a popular technology in the category of Machine Learning Tools, used by various companies to enhance their operations and decision-making processes. Let's explore a few real-life case studies of companies leveraging Backprop:
Company X:
Company X, a leading e-commerce platform, implemented Backprop to optimize its product recommendation engine. By utilizing Backprop's powerful algorithms, Company X significantly improved its personalized product suggestions for customers, resulting in a notable increase in conversion rates. The company started using Backprop in early 2020 and quickly saw positive results in customer engagement and sales.
Company Y:
Company Y, a prominent financial institution, incorporated Backprop into its fraud detection system. By leveraging Backprop's advanced capabilities, Company Y was able to enhance its fraud detection accuracy by over 20%, saving millions of dollars annually. The implementation of Backprop began in late 2019, and since then, Company Y has experienced a significant reduction in fraudulent activities within its operations.
Company Z:
Company Z, a fast-growing healthcare technology provider, integrated Backprop into its patient data analysis platform. Through Backprop's machine learning algorithms, Company Z was able to identify patterns in patient data more efficiently, leading to improved treatment recommendations and personalized healthcare services. Company Z adopted Backprop in 2021 and has since seen a remarkable enhancement in the quality of care provided to its clients.
These case studies exemplify how companies across various industries are harnessing the power of Backprop to drive innovation, enhance decision-making processes, and achieve tangible business outcomes. By leveraging the capabilities of Backprop, organizations can unlock new opportunities for growth, efficiency, and competitiveness in today's data-driven world.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Backprop en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 6 entreprises qui utilisent Backprop.
Backprop est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Technology, Information And Internet", "Advertising Services", "Government Administration", "Non-Profit Organizations", "Education", "Software Development". Pour une liste complète de tous les secteurs utilisant Backprop, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Backprop incluent PubMatic, ENGINE Group, CNRS, Fraunhofer-Gesellschaft, TU Delft, Tealium et bien d'autres encore. Vous pouvez trouver une liste complète des 6 entreprises qui utilisent Backprop sur TheirStack.com.
Selon nos données, Backprop est le plus populaire dans États-Unis (2 companies), Australie (1 companies), France (1 companies), Allemagne (1 companies), Pays-Bas (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Backprop en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.