Advanced Topics in Vision: GANs and Style Transfer

CODE: NAI10

DURATION: 3 Days | 5 Days | 10 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

3 Days

₦500,000

5 Days

₦1,500,000

10 Days

₦3,500,000

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Course Overview

Course Outcomes

Key Course Highlights

Who Should Attend

Upcoming Course Dates

Course Overview

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.

Course Delivery

This course is available in the following formats:

Virtual

Classroom

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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.

Key Course Highlights

At the end of this course, you’ll understand:

  • A deep dive into Generative Adversarial Networks (GANs) architecture
  • Training techniques and loss functions for GANs
  • Style transfer fundamentals and implementation
  • Image generation, enhancement, and transformation
  • How to address GAN training challenges (e.g., mode collapse)
  • Hands-on coding with TensorFlow or PyTorch
  • Applications in art, design, and AI creativity
  • Evaluation metrics for generative models
  • Case studies of real-world GAN and style transfer projects
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Who Should Attend

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.

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Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 18/08/2025

Location: Lagos

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Advanced Topics in Vision: GANs and Style Transfer

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

Enrol Now

Request Group Training

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