Generative Adversarial Network
Generative Adversarial Network

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Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases | Navin K. Manaswi

by BPB Publications

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Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases | Navin K. Manaswi

by BPB Publications

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Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases | Navin K. Manaswi

by BPB Publications

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Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases | Navin K. Manaswi

by BPB Publications

21 companies for "Generative Adversarial Network"

BPB Publications's Logo

51-100 Employees

1958

"Enhancing learning of oneself to create an intense amount of their endurance through knowledge." BPB is the Asia's largest publishers of Computer & IT Books. For the last 63 years, BPB has been a friend, philosopher and guide for programmers, developers, hardware technicians, IT Professionals,etc. who have made things happen in the IT World. Jain has been honoured with the PADMASHREE award in 2002 by Hon'ble President of India for his contribution in spreading IT Education in India. Welcome to the family of BPB Publications! A family with about 100 million people residing all across the world. A family with computer literate people who have achieved this acumen and expertise by the perpetual quest of excellence by BPB.

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Image for Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases

... Generative Adversarial Networks with Industrial Use ...

Deque AI's Logo

San Francisco, United States

1-10 Employees

2021

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Image for Training CGan For Image Geneartion

Training CGan For Image Geneartion

... This notebook is about understanding and training a conditional Generative Adversarial Network for image generation. ...

Stanford Artificial Intelligence Laboratory's Logo

Palo Alto, United States

51-100 Employees

1962

The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1963. Our video highlighting 60 Years of Artificial Intelligence history at Stanford won the Science and Technology category at the 52nd Northern California Area Emmy Awards. Congratulations to everyone involved in SAIL and Stanford Video! The SAIL AI at Stanford 1962-2022 video is a Gold Telly Winner in the Non-Broadcast – Documentary: Short Form (Under 40 Minutes) category, and a Silver Telly Winner in the Non-Broadcast – Educational Institution category. See over eight hours of video from Stanford Artificial Intelligence Laboratory researchers speaking on April 13, 2023.

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Image for Generative Adversarial Networks – Stanford Artificial Intelligence Laboratory

Generative Adversarial Networks – Stanford Artificial Intelligence Laboratory

... Generative Adversarial Networks – Stanford Artificial Intelligence ...

Airus's Logo

Brisbane City, Australia

1-10 Employees

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            About :: Connecting Defence with AI & Machine Learning  — Australian AI, Machine Learning and Technology for Defence & National Security

About :: Connecting Defence with AI & Machine Learning — Australian AI, Machine Learning and Technology for Defence & National Security

... Technology Offerings -Leading edge AI & ML frameworks and languages -Generative Adversarial Networks and other unsupervised learning techniques -Recurrent Neural Network and Convolutional Neural Network frameworks -Infrastructure establishment and maintenance -Web application and database ...

D-cube Immersive Solutions's Logo

Pylaia Municipal Unit, Greece

1-10 Employees

2016

Blending customer centric culture with research, excellence and solid scientific background. D-Cube is a spin-off company of the Centre for Research & Technology Hellas, spinning research achievements out of the Visual Computing Lab. We combine research, strong scientific background with customer-centric design and deploy disruptive computer vision and machine learning technologies to industries that are willing to transform. Our vision is to transform world-leading research into business value. Our mission is to identify operational and quality assurance issues and drive diverse industries into the new Industry 4.0 era by transforming them into Factories of the Future.

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Image for Marble Factory of the Future - D-Cube

Marble Factory of the Future - D-Cube

... will be designed, based on the development of large-scale convolutional and competitive neural networks (Convolutional Neural and Generative Adversarial Networks), in order to enable the analysis of the slabs and the collection of quality features and data regarding shape, ...

TNO's Logo

The Hague, Netherlands

1001-5000 Employees

1932

Jasper van der Waa werd vorig jaar verkozen tot Young Excellent Researcher, een initiatief van de TNO Science Academy om excellente jonge onderzoekers op een voetstuk te plaatsen. De prijs is een TNO-brede erkenning voor onderzoek van hoge kwaliteit, met een sterke impact en een grote zichtbaarheid, zowel binnen als buiten. Onze ambitie voor 2030: plastics circulair produceren zonder CO2 uitstoot, maar mét CO2 o.a. als grondstof. De duurzame bereikbaarheid van stedelijke regio’s komt in gevaar door de toenemende druk op de schaarse vierkante meters. Met XCARCITY gaat TNO samen met ruim dertig partners realistische ‘digital twins’ ontwikkelen voor smart mobility-toepassingen, om nog betere keuzes te kunnen maken voor de leefbare stad van morgen.

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Image for Fair Machine Learning combats biases | TNO

Fair Machine Learning combats biases | TNO

... TNO makes generative adversarial network models using fair machine ...

Association of Data Scientists's Logo

Bengaluru, India

1-10 Employees

2019

Association of Data Scientists hosts regular events in the form of conferences & webinars. Learn and Advance Your Skills With Our Online Machine Learning Courses Association of Data scientists offers a growing repertoire of online courses that provides you with in-depth knowledge of various areas within machine learning & data science. Lattice is an international peer-reviewed and refereed journal on machine learning hosted and managed by ADaSci. ADaSci Career Centre is a feature-rich resource that is free for members to view the newest job listings, post resumes and access resource pages that enable them to make informed decisions when looking to make their next career move. Selecting the right generative AI training is critical for successful technology adoption.

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Image for Industry Applications of Large Language Models: Transforming Business Landscape

Industry Applications of Large Language Models: Transforming Business Landscape

... Build your own Generative Adversarial Networks (GANs) from ...

DRESSX's Logo

Los Angeles, United States

11-50 Employees

2020

Try on digital fashion with the DRESSX app for free. We share the beauty and excitement that physical fashion creates, but we believe that there are ways to produce less, to produce more sustainably, and not to produce at all. At DressX we aim to show that some clothes can exist only in their digital versions. At DressX, the team is focused on clothing made for content and the current idea is to eliminate waste created when sending influencers items of clothing. In order to democratize fashion for the final consumer, DressX gives every client an opportunity to digitally dress in clothing they always wanted to wear - and get instant verification from their followers on social media.

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    mini skirt sport one – DRESSX / More Dash Inc. dba DRESSX

mini skirt sport one – DRESSX / More Dash Inc. dba DRESSX

... The solution is based on GANs (Generative Adversarial Networks), the latest technology that can be used to generate images of any kind, to carry out text-to-image translation, to convert one type of image to another, and to enhance the resolution of images among other applications. The main ...

Làgmarks Design's Logo

Italy

1-10 Employees

2020

Làgmarks Design is a design studio focused in Contemporary Art and Design where you can shop Posters, Wallpapers and Wall Art.

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Image for Pixelate – AI Art – LAGMARKS DESIGN

Pixelate – AI Art – LAGMARKS DESIGN

... kind, a design based on a portrait generated by Artificial Intelligence, and in particular a GAN (generative adversarial network).How a GAN works: Given a training set, it learns to generate new data with the same statistics as the training set.For example, a GAN trained on photographs can ...

inovex's Logo

Karlsruhe, Germany

51-100 Employees

1999

inovex hilft seinen Kunden seit über 20 Jahren, anspruchsvolle Digitalisierungsprojekte zum Erfolg zu führen – in Time, in Budget, in Quality! inovex ist in Karlsruhe (Park Plaza und Technologiepark), Köln, Berlin, München, Hamburg, Stuttgart, Pforzheim und Erlangen ansässig und bundesweit in Projekte involviert. Hier nehmen wir Anforderungen auf, entwickeln Ideen im Rahmen einer Product Discovery oder, falls es schon konkrete Pläne gibt, erarbeiten eine Roadmap für den ersten Proof of Concept. Je nach Anforderung folgt die Entwicklung durch Expert:innen von inovex oder die methodische und strategische Unterstützung interner Teams des Kunden. Aber auch, wer einfach nur wissen möchte, wer hinter dem Team inovex steckt, bekommt einen authentischen Einblick.

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Image for Querying NoSQL with Deep Learning to Answer Natural Language Questions - inovex GmbH

Querying NoSQL with Deep Learning to Answer Natural Language Questions - inovex GmbH

... Jonas Falkner untersucht in seiner Masterarbeit, wie Recommender-Systeme auf Basis von Generative Adversarial Networks designt werden können. ...

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„Generative Adversarial Network“

Generative Adversarial Networks (GANs) are a type of deep learning architecture that pits two neural networks against each other in a zero-sum game. The first network, known as the generator, creates data samples that try to fool the second network, known as the discriminator. The discriminator is trained to classify between real data and generated data, while the generator is trained to create data that can fool the discriminator. By training both networks simultaneously, a GAN can learn to generate data that matches the distribution of real-world data.