Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

deeplearning.ai

Generative Adversarial Networks (GANs)

deeplearning.ai via Coursera Specialization

Overview

About GANs Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more. About this Specialization The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. About you This Specialization is for software engineers, students, and researchers from any field, who are interested in machine learning and want to understand how GANs work. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.

Syllabus

Course 1: Build Basic Generative Adversarial Networks (GANs)
- Offered by DeepLearning.AI. In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the ... Enroll for free.

Course 2: Build Better Generative Adversarial Networks (GANs)
- Offered by DeepLearning.AI. In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - ... Enroll for free.

Course 3: Apply Generative Adversarial Networks (GANs)
- Offered by DeepLearning.AI. In this course, you will: - Explore the applications of GANs and examine them wrt data augmentation, privacy, ... Enroll for free.

Courses

Taught by

Sharon Zhou

Related Courses

Reviews

Start your review of Generative Adversarial Networks (GANs)

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free