Generative Adversarial Networks with Industrial Use Cases
Home > Computer & Internet > Computer science > Artificial intelligence > Machine learning > Generative Adversarial Networks with Industrial Use Cases
Generative Adversarial Networks with Industrial Use Cases

Generative Adversarial Networks with Industrial Use Cases

|
     0     
5
4
3
2
1




Available


About the Book

Best Book on GAN

Key Features

  • Understanding the deep learning landscape and GAN's relevance
  • Learning basics of GAN
  • Learning how to build GAN from scratch
  • Understanding mathematics and limitations of GAN
  • Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTech
  • Understanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN
  • Learning how to build GAN code for industrial applications
  • Understanding the difference between varieties of GAN

  • Description
    This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible time with the help of this book.

    What will you learn
  • Machine Learning Researchers would be comfortable in building advanced deep learning codes for Industrial applications
  • Data Scientists would start solving very complex problems in deep learning
  • Students would be ready to join an industry with these skills
  • Average data engineers and scientists would be able to develop complex GAN codes to solve the toughest problems in computer vision

  • Who this book is for
    This book is perfect for machine learning engineers, data scientists, data engineers, deep learning professionals and computer vision researchers. This book is also very useful for medical imaging professionals, autonomous vehicles professionals, retail fashion professionals, media & entertainment professional, edutech and HRtech professionals. Professors and Students working in machine learning, deep learning, computer vision and industrial applications would find this book extremely useful.

    Table of Contents
    1. Basics of GAN
    2. GAN Applications
    3. Problem with GAN
    4. Famous Types Of GANs

    About the Author
    Navin K Manaswi has been developing AI solutions/products for HRTech, Retail, ITSM, Healthcare, Telecom, Insurance, Digital Marketing, and Supply Chain while working for Consulting companies in Malaysia, Singapore, and Dubai . He is a serial entrepreneur in Artificial Intelligence and Augmented Reality Space. He has been building solutions for video intelligence, document intelligence, and human-like chatbots. He is Guest Faculty at IIT Kharagpur for AI Course and an author of the famous book on deep learning. He is officially a Google Developer Expert in machine learning. He has been organizing and mentoring AI hackathons and boot camps at Google events and college events. His startup WoWExp has been building awesome products in AI and AR space.
    Your Blog links: www.navinmanaswi.com
    Your LinkedIn Profile: https: //www.linkedin.com/in/navin-manaswi-1a708b8/


    Best Sellers



    Product Details
    • ISBN-13: 9789389423853
    • Publisher: Amazon Digital Services LLC - KDP Print US
    • Publisher Imprint: Bpb Publications
    • Height: 229 mm
    • No of Pages: 134
    • Spine Width: 7 mm
    • Weight: 240 gr
    • ISBN-10: 9389423856
    • Publisher Date: 05 Mar 2020
    • Binding: Paperback
    • Language: English
    • Returnable: N
    • Sub Title: Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech (English Edition)
    • Width: 152 mm


    Similar Products

    Add Photo
    Add Photo

    Customer Reviews

    REVIEWS      0     
    Click Here To Be The First to Review this Product
    Generative Adversarial Networks with Industrial Use Cases
    Amazon Digital Services LLC - KDP Print US -
    Generative Adversarial Networks with Industrial Use Cases
    Writing guidlines
    We want to publish your review, so please:
    • keep your review on the product. Review's that defame author's character will be rejected.
    • Keep your review focused on the product.
    • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
    • Refrain from mentioning competitors or the specific price you paid for the product.
    • Do not include any personally identifiable information, such as full names.

    Generative Adversarial Networks with Industrial Use Cases

    Required fields are marked with *

    Review Title*
    Review
      Add Photo Add up to 6 photos
      Would you recommend this product to a friend?
      Tag this Book Read more
      Does your review contain spoilers?
      What type of reader best describes you?
      I agree to the terms & conditions
      You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

      CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

      These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


      By submitting any content to Bookswagon, you guarantee that:
      • You are the sole author and owner of the intellectual property rights in the content;
      • All "moral rights" that you may have in such content have been voluntarily waived by you;
      • All content that you post is accurate;
      • You are at least 13 years old;
      • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
      You further agree that you may not submit any content:
      • That is known by you to be false, inaccurate or misleading;
      • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
      • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
      • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
      • For which you were compensated or granted any consideration by any unapproved third party;
      • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
      • That contains any computer viruses, worms or other potentially damaging computer programs or files.
      You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


      For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


      All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

      Accept

      New Arrivals



      Inspired by your browsing history


      Your review has been submitted!

      You've already reviewed this product!