Mastering Generative Adversarial Networks (GANs): A Comprehensive Workshop on Advanced Techniques, Applications, and Ethical Insights
Creating Realistic and Creative AI-Generated Content with GANs
About This Course
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.
Workshop 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.
Workshop Structure
Day 1: Foundations of Generative Adversarial Networks
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- 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
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- 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
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- 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
Who Should Enrol?
- 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
Important Dates
Registration Ends
02/26/2025
IST 1:00 pm
Workshop Dates
02/26/2025 – 02/28/2025
IST 5 PM
Workshop 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
Fee Structure
Student
₹1999 | $45
Ph.D. Scholar / Researcher
₹2499 | $50
Academician / Faculty
₹2999 | $55
Industry Professional
₹4999 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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