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CODE: NAI10
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course covers advanced computer vision techniques using Generative Adversarial Networks (GANs) and neural style transfer. Participants will learn GAN architecture, training methods, and image generation. The course also teaches how to apply style transfer to transform images with artistic effects. Through hands-on projects, participants will build and apply advanced vision models for real-world and creative AI applications.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the architecture and working principles of GANs.
Train and evaluate GANs for image generation tasks.
Apply neural style transfer techniques to manipulate and transform images.
Use deep learning frameworks (e.g., TensorFlow or PyTorch) to build vision models.
Address challenges like mode collapse and training instability in GANs.
Explore creative applications of GANs in art, design, and content creation.
Integrate advanced vision techniques into broader AI solutions.
Gain confidence in experimenting with generative models for real-world use cases.
At the end of this course, you’ll understand:
This course is tailored for AI and machine learning professionals, computer vision engineers, data scientists, researchers, and developers interested in generative models. It is also suited for advanced learners and enthusiasts who have a solid foundation in deep learning and want to explore creative and practical applications of GANs and style transfer in computer vision projects.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
