Mastering Generative Adversarial Networks (GANs): A Comprehensive Workshop on Advanced Techniques, Applications, and Ethical Insights
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Course Overview
Workshop Registration End Date :2025-02-26
Program Syllabus
Module 1
About
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.
Module 2
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.
Module 3
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.
Module 4
Workshop Structure
Module 5
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
Module 6
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
Module 7
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
Module 8
Participant’s Eligibility
- 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
Module 9
Important Dates
Module 10
Registration Ends
2025-02-26
Indian Standard Timing 1:00 pm
Module 11
Workshop Dates
2025-02-26 to 2025-02-28
Indian Standard Timing 5 PM
Module 12
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
Module 13
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 14
Student
INR. 1999
USD. 45
Module 15
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Module 16
Academician / Faculty
INR. 2999
USD. 55
Module 17
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 18
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 19
Future Career Prospects
- Generative AI Specialist
- Creative AI Engineer
- Research Scientist in Generative Models
- Data Augmentation Expert
- Multimedia Content Creator with AI
Module 20
Job Opportunities
- GAN Developer for Creative Applications
- Synthetic Data Engineer
- Deep Learning Researcher
- AI Engineer in Media and Entertainment
- Digital Art and Multimedia Technologist
Module 23
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 24
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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Mastering Generative Adversarial Networks (GANs): A Comprehensive Workshop on Advanced Techniques, Applications, and Ethical Insights
Professional Certification Program
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FormatLive + Recorded
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Duration8 Weeks
📜
CertificationVerified
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