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Generative Adversarial Networks (GAN) - Essentials Training

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Explore the power of Generative Adversarial Networks (GANs) in this essentials training by Multisoft Virtual Academy. Learn core concepts, architecture, training challenges, and practical use cases across AI and deep learning domains. Perfect for professionals looking to understand and apply GANs in image generation, data augmentation, and more.

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Instructor-led Training Live Online Classes

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30 Aug 2025 24 06:00 PM - 09:00 PM Sat, Sun
31 Aug 2025 24 06:00 PM - 09:00 PM Sat, Sun
06 Sep 2025 24 06:00 PM - 09:00 PM Sat, Sun
07 Sep 2025 24 06:00 PM - 09:00 PM Sat, Sun

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Instructor-led Training Live Online Classes

30 Aug 2025 24 06:00 PM - 09:00 PM Sat, Sun
31 Aug 2025 24 06:00 PM - 09:00 PM Sat, Sun
06 Sep 2025 24 06:00 PM - 09:00 PM Sat, Sun
07 Sep 2025 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 600

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 600

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Generative Adversarial Networks (GAN) - Essentials Training Online Course Syllabus

Curriculum Designed by Experts

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The Generative Adversarial Networks (GAN) – Essentials Training by Multisoft Virtual Academy is designed to provide learners with a solid foundation in one of the most innovative and transformative areas of artificial intelligence. GANs are deep learning models that use a two-network architecture—comprising a generator and a discriminator—to create synthetic data that closely mimics real-world data. This course introduces the core concepts, working principles, and training techniques of GANs, making it ideal for AI and ML professionals, data scientists, and tech enthusiasts eager to explore generative models. Participants will gain hands-on experience with GAN architecture, loss functions, optimization challenges, and evaluation metrics. The course also explores key variants such as DCGAN, CycleGAN, and StyleGAN, offering insights into their use in applications like image generation, video synthesis, text-to-image translation, and data augmentation. Through instructor-led training and real-world examples, learners will understand how to build and train GANs using frameworks like TensorFlow or PyTorch.

By the end of the course, participants will be equipped with practical skills to design, train, and evaluate GAN AI Course models, positioning themselves for advanced roles in AI development, computer vision, and generative technologies across industries like healthcare, gaming, media, and cybersecurity.

Generative Adversarial Networks (GAN) – Essentials training is a foundational course designed to introduce learners to the core principles, architecture, and applications of GANs in artificial intelligence. It covers how GANs work using generator and discriminator models, explores real-world use cases, and includes hands-on practice with tools like TensorFlow or PyTorch. Ideal for beginners, this course builds essential skills for implementing GANs in deep learning projects.

  • What is Generative Models?
  • Application of Generative Models
  • Types of Generative Models
  • Magenta Sketch-RNN
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  • What is Deep Dream?
  • DeepDream Applications
  • How Deep Dream Work?
  • Implementation of Deep Dream on Tensorflow 2.x
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  • What is Neural Style Transfer?
  • Fast Style Transfer using TF-Hub
  • Implementation of Neural Style Transfer on Tensorflow 2.x
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  • What is Autoencoder?
  • Variational Autoencoder (VAE)
  • VAE Implementation on Tensorflow 2.x
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  • Introduction to GAN
  • GAN Applications
  • Basic DC GAN Architecture
  • Discriminator and Generator Loss
  • DCGAN Implementation on Tensorflow 2.x
  • GAN Challenges and Tricks
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  • Introduction to C-GAN
  • Image to Image Translation & Pix2Pix
  • Pix2Pix implementation on Tensorflow 2.x
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  • Introduction to CycleGAN
  • Cycle Consistency Loss
  • CycleGAN implementation on Tensorflow 2.x
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Generative Adversarial Networks (GAN) - Essentials Training Online Description

  • Understand the fundamental architecture and components of Generative Adversarial Networks (GANs).
  • Learn the roles of generator and discriminator networks and how they compete during training.
  • Explore key concepts like loss functions, training stability, and convergence in GANs.
  • Gain hands-on experience with building and training basic GAN models using TensorFlow or PyTorch.
  • Analyze real-world applications of GANs in areas like image synthesis, data augmentation, and anomaly detection.
  • Learn to overcome common GAN challenges such as mode collapse and vanishing gradients.
  • Implement techniques to fine-tune GAN performance and improve output quality.
  • Evaluate the effectiveness of trained GANs using quantitative and visual metrics.
  • Understand the ethical considerations and limitations of GANs in modern AI applications.

  • Data Scientists
  • Machine Learning Engineers
  • AI/ML Enthusiasts
  • Deep Learning Researchers
  • Software Developers
  • Computer Vision Engineers
  • Students pursuing AI/ML studies
  • Professionals transitioning into AI roles
  • Academic Faculty and Trainers in AI/ML

  • Basic understanding of machine learning concepts
  • Familiarity with neural networks and deep learning fundamentals
  • Knowledge of Python programming

Generative Adversarial Networks (GAN) - Essentials Training Online Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Generative Adversarial Networks (GAN) - Essentials Online Corporate Training Certification

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  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
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24x7 Assistance

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Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
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  • Globally Recognized and Accepted
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Generative Adversarial Networks (GAN) - Essentials Training Online FAQ's

Yes, the course is delivered through instructor-led online training, allowing you to learn from anywhere.

Absolutely. The training includes hands-on labs, real-time demonstrations, and mini-projects to solidify your understanding of GANs.

Yes, mastering GANs can significantly boost your profile in AI, especially in areas like computer vision, generative modeling, and research.

You will learn GAN architecture, how generators and discriminators work, training techniques, challenges like mode collapse, loss functions, and applications such as image synthesis and data augmentation.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number  +91 8130666206

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