New Year Offer End Date: 30th April 2024
RES2
Program

Mastering Generative Adversarial Networks (GANs): A Comprehensive Workshop on Advanced Techniques, Applications, and Ethical Insights

Creating Realistic and Creative AI-Generated Content with GANs

Skills you will gain:

About Program:

This workshop offers an in-depth exploration of Generative Adversarial Networks (GANs), one of the most revolutionary advancements in artificial intelligence. Participants will learn the theoretical foundations, advanced architectures, and real-world implementations of GANs. From image synthesis to data augmentation, attendees will gain hands-on experience and insights into the transformative potential of GANs across industries.

Aim: To provide participants with a comprehensive understanding and practical expertise in designing, training, and applying Generative Adversarial Networks (GANs) for a wide range of real-world applications.

Program Objectives:

  • To introduce participants to the fundamentals of GANs and their architecture.
  • To train participants in building and fine-tuning GAN models for specific use cases.
  • To explore diverse applications of GANs across creative and industrial domains.
  • To address ethical and societal challenges in deploying GAN-based technologies.
  • To prepare participants for advanced research and development in generative AI.

What you will learn?

Day 1: Foundations of Generative Adversarial Networks

    • Introduction to GANs: Concept, History, and Key Components
    • Architecture of GANs: Generator and Discriminator Networks
    • Variants of GANs: DCGAN, CGAN, and WGAN
    • Case Studies: Applications in Image Generation and Beyond
    • Q&A Session: Addressing Common Challenges in GAN Implementation

Day 2: Advanced Techniques in GANs

    • Challenges in Training GANs: Mode Collapse, Instability, and Overfitting
    • Advanced Techniques: Wasserstein GAN, Progressive Growing GANs, and StyleGAN
    • Hands-On Workshop: Building and Training a GAN for Image Synthesis
    • Discussion: Evaluating GAN Performance and Results

Day 3: Applications and Ethical Considerations of GANs

    • Applications of GANs: Art Generation, Data Augmentation, Deepfake Detection, and More
    • Ethical Implications: Misuse of GANs and Mitigation Strategies
    • Emerging Trends: GANs in Video Synthesis, 3D Modeling, and Domain Adaptation
    • Panel Discussion: Future Directions in GAN Research and Innovation

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • AI enthusiasts and machine learning practitioners
  • Data scientists and deep learning engineers
  • Students and researchers in AI and creative technologies
  • Professionals interested in generative AI for media, healthcare, and more

Career Supporting Skills

Generative Art

Program Outcomes

  • Proficiency in designing and training various types of GANs
  • Hands-on experience in developing GAN-based solutions
  • Understanding of GAN applications across industries
  • Awareness of ethical challenges and mitigation strategies in generative AI
  • Insight into future trends and opportunities in GANs and generative modeling