Generative Adversarial Networks (GAN) Courses and Certifications

GANs in Medical Image Synthesis, Translation, and Augmentation - Jason Jeong

Explore GANs in medical imaging for synthetic data generation, addressing scarcity and imbalance issues. Learn about applications in CT, MRI, and disease detection, with insights on challenges and future directions.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Building Generative Adversarial Networks

1 review

Learn to understand and implement a Deep Convolutional GAN (generative adversarial network) to generate realistic images, with Ian Goodfellow, the inventor of GANs, and Jun-Yan Zhu, the creator of CycleGANs.

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Microcredential

Generative Adversarial Networks (GANs)

Explore image generation with GANs, from foundational concepts to advanced techniques. Gain hands-on experience using PyTorch, create realistic outputs, and understand social implications like bias and privacy in machine learning.

• Coursera
• 13 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Build Basic Generative Adversarial Networks (GANs)

1954 ratings at Coursera

Explore GANs, from fundamentals to advanced techniques. Build and train models using PyTorch, create images, and evaluate various GAN architectures. Gain practical skills for real-world applications.

• Coursera
• 1 day 5 hours 46 minutes
• On-Demand
• Free Online Course (Audit)

Build Better Generative Adversarial Networks (GANs)

667 ratings at Coursera

Learn to evaluate GANs, identify bias, and implement StyleGAN techniques. Master advanced image generation methods, from foundational concepts to state-of-the-art models using PyTorch.

• Coursera
• 1 day 4 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Apply Generative Adversarial Networks (GANs)

533 ratings at Coursera

Explore GANs for data augmentation, privacy, and image translation. Implement Pix2Pix and CycleGAN models to transform images, from satellite views to map routes and horses to zebras.

• Coursera
• 1 day 1 hour 39 minutes
• On-Demand
• Free Online Course (Audit)

Generative Adversarial Minority Oversampling

Explore innovative techniques for addressing class imbalance in machine learning using generative adversarial networks and convex generators, with a focus on minority oversampling.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Multi-Agent Diverse Generative Adversarial Networks

Explore diverse generative adversarial networks, focusing on multi-agent systems, mode collapse prevention, and competing objectives in machine learning.

• YouTube
• 37 minutes
• On-Demand
• Free Video

VEEGAN - Reducing Mode Collapse in GANs Using Implicit Variational Learning

Learn about VEEGAN, an innovative approach to reduce mode collapse in Generative Adversarial Networks (GANs) using implicit variational learning, with practical examples and results.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Literacy Essentials: Core Concepts Generative Adversarial Network

14 ratings at Pluralsight

This course will teach you the theory and code behind General Adversarial Networks (GANs). GANs are self-evaluating and self-improving networks that can create the stunning results you see in generated photos, videos, and sounds.

• Pluralsight
• 33 minutes
• On-Demand
• Free Trial Available

Open Data Science

Generative Adversarial Networks for Image Synthesis and Translation - Dr. Jan Kautz

Explore recent GAN advancements for image synthesis and translation, including conditional GANs, supervised vs unsupervised methods, and multimodal approaches. Learn to design, modify, and understand GAN architectures.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Abhishek Thakur

What Are CycleGANs? - A Novel Deep Learning Tool in Pathology

Explore CycleGANs for unpaired image conversion, including applications in pathology and microscopy. Learn model architecture, training, and inference through code demos and real-world examples.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Paul Hand

Theory of GANs for Compressed Sensing

Explore the theory of GAN priors in compressed sensing, covering key concepts, proofs, and optimization problems. Gain insights into visual representation and set restricted eigen value conditions.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Outlier

VQ-GAN - PyTorch Implementation

Implement Vector Quantized Generative Adversarial Networks (VQGAN) using PyTorch, covering encoder, decoder, codebook, discriminator, and transformer stages for high-resolution image synthesis.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Jeff Heaton

Exploring Style GAN2 Latent Vector - Controlling Facial Properties

Dive into StyleGAN2's latent vectors to control facial features in generated images, including a technique for adding glasses to faces.

• YouTube
• 21 minutes
• On-Demand
• Free Video