Dit object is niet op voorraad.
Hebt u iets om te verkopen?

Generative Adversarial Networks for Image-to-Image Translation by Arun Solanki (

Objectstaat:
Nieuw
Prijs:
US $165,05
OngeveerEUR 153,94
Verzendkosten:
Gratis Economy Shipping. Details bekijkenvoor verzending
Bevindt zich in: Fairfield, Ohio, Verenigde Staten
Levering:
Geschatte levering tussen do, 27 jun en di, 9 jul tot 43230
Bij geschatte leveringsdatums - nieuw venster of tabblad wordt rekening gehouden met de verwerkingstijd van de verkoper, de postcode van de verzendlocatie, de postcode van de bestemming, en het moment van aanvaarding. Geschatte leveringsdatums zijn ook afhankelijk van de geselecteerde verzendservice en de ontvangst van de betalingbetaling ontvangen - nieuw venster of tabblad. De leveringstermijnen kunnen variëren, vooral gedurende piekperiodes.
Retourbeleid:
30 dagen om te retourneren. Koper betaalt voor retourzending. Details bekijken- voor meer informatie over retourzendingen
Betalingen:
     

Winkel met vertrouwen

Topverkoper
Betrouwbare verkoper, snelle verzending en eenvoudige retourzending. 
Geld-terug-garantie van eBay
Ontvang het object dat u hebt besteld of krijg uw geld terug. 

Verkopergegevens

Ingeschreven als zakelijke verkoper
De verkoper neemt de volledige verantwoordelijkheid voor deze aanbieding.
eBay-objectnummer:364825749357
Laatst bijgewerkt op 20 mei 2024 06:30:43 CESTAlle herzieningen bekijkenAlle herzieningen bekijken

Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN-13
9780128235195
Book Title
Generative Adversarial Networks for Image-to-Image Translation
ISBN
9780128235195
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Technology & Engineering, Science
Publication Name
Generative Adversarial Networks for Image-To-Image Translation
Author
Anand Nayyar
Publisher
Elsevier Science & Technology
Item Length
9.2 in
Subject
Biotechnology, General, Biomedical
Item Width
7.5 in
Number of Pages
232 Pages

Over dit product

Product Information

Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0128235195
ISBN-13
9780128235195
eBay Product ID (ePID)
7050032835

Product Key Features

Number of Pages
232 Pages
Language
English
Publication Name
Generative Adversarial Networks for Image-To-Image Translation
Publication Year
2021
Subject
Biotechnology, General, Biomedical
Type
Textbook
Subject Area
Technology & Engineering, Science
Author
Anand Nayyar
Format
Trade Paperback

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Dewey Decimal
006.31
Lc Classification Number
Q325.5
Table of Content
1. Super-Resolution based GAN for Image Processing: Recent Advances and Future Trends 2. GAN models in Natural Language Processing and Image Translation 3. Generative Adversarial Networks and their variants 4. Comparative Analysis of Filtering Methods in Fuzzy C-Mean Environment for DICOM Image Segmentation 5. A Review on the Techniques for Generation of Images using GAN 6. A Review of Techniques to Detect the GAN Generated Fake Images 7. Synthesis of Respiratory Signals using Conditional Generative Adversarial Networks from Scalogram Representation 8. Visual Similarity-Based Fashion Recommendation System 9. Deep learning based vegetation index estimation 10. Image Generation using Generative Adversarial Networks 11. Generative Adversarial Networks for Histopathology Staining 12. ANALYSIS OF FALSE DATA DETECTION RATE IN GENERATIVE ADVERSARIAL NETWORKS USING RECURRENT NEURAL NETWORK 13. WGGAN: A Wavelet-Guided Generative Adversarial Network for Thermal Image Translation 14. GENERATIVE ADVERSARIAL NETWORK FOR VIDEO ANALYTICS 15. Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks 16. Generative Adversarial Network for Video Anomaly Detection
Copyright Date
2021

Objectbeschrijving van de verkoper

Informatie van zakelijke verkoper

Premier Books LLC
David Taylor
26C Trolley Sq
19806-3356 Wilmington, DE
United States
Contactgegevens weergeven
:liam-Emoc.liaterelgaednarg@yabe
Ik verklaar dat al mijn verkoopactiviteiten zullen voldoen aan alle wet- en regelgeving van de EU.
grandeagleretail

grandeagleretail

98,3% positieve feedback
2,7M objecten verkocht
Reageert meestal binnen 24 uur

Gedetailleerde verkopersbeoordelingen

Gemiddelde van de afgelopen 12 maanden

Nauwkeurige beschrijving
4.9
Redelijke verzendkosten
5.0
Verzendtijd
4.9
Communicatie
4.9
Ingeschreven als zakelijke verkoper

Feedback verkoper (1.025.460)

n***1 (714)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
Perfect.
m***o (84)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
Great seller, item as described and in wonderful condition.
m***e (1886)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
The book arrived quickly and in wonderful condition. Thank you.