Generative Adversarial Networks (GANs)
Creating Realistic and Creative AI-Generated Content with GANs
Virtual (Google Meet)
Mentor Based
Moderate
3 Days
26 -February -2025
5 PM IST
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.
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
-
- 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
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
Important Dates
Registration Ends
2025-02-26
Indian Standard Timing 1:00 pm
Workshop Dates
2025-02-26 to 2025-02-28
Indian Standard Timing 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
Mentor Profile
Designation: Professor
Affiliation:
Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science. Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science
She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.
Fee Structure
Student
INR. 1999
USD. 45
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Academician / Faculty
INR. 2999
USD. 55
Industry Professional
INR. 4999
USD. 75
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Generative AI Specialist
- Creative AI Engineer
- Research Scientist in Generative Models
- Data Augmentation Expert
- Multimedia Content Creator with AI
Job Opportunities
- GAN Developer for Creative Applications
- Synthetic Data Engineer
- Deep Learning Researcher
- AI Engineer in Media and Entertainment
- Digital Art and Multimedia Technologist
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great knowledge about topic.