Generative Adversarial Networks (GAN) Courses and Certifications

TensorFlow

Generative Adversarial Networks and TF-GAN - ML Tech Talks

Explore Generative Adversarial Networks (GANs) and TF-GAN library. Learn GAN applications, metrics, self-attention GAN, and practical implementation tips from a TensorFlow Research Engineer.

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

Aleksa Gordić - The AI Epiphany

Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained

Explore cutting-edge 3D generative models with a deep dive into efficient geometry-aware GANs, NeRF technology, and novel scene representation techniques for advanced computer vision applications.

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

Jeff Heaton

Generating Faces with a Generative Adversarial Networks - GAN in Keras-Tensorflow 2.0

Learn to implement a Generative Adversarial Network (GAN) from scratch using TensorFlow and Keras to generate realistic human faces, with step-by-step guidance and practical code examples.

• YouTube
• 23 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
• 15 hours
• On-Demand
• Paid Course

Microcredential

Generative Adversarial Networks (GANs)

2370 ratings at Coursera

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
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Build Basic Generative Adversarial Networks (GANs)

2004 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
• Paid Course

Build Better Generative Adversarial Networks (GANs)

685 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
• Paid Course

Apply Generative Adversarial Networks (GANs)

548 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
• Paid Course

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

Computerphile

Generative Adversarial Networks - Computerphile

Explore Generative Adversarial Networks (GANs) with Rob Miles, learning how neural networks compete to create new, realistic data like images and faces.

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

Alexander Amini;  MIT

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI.

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

Yannic Kilcher

Diffusion Models Beat GANs on Image Synthesis - Machine Learning Research Paper Explained

Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.

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

TensorFlow

Generative Adversarial Networks and Stable Diffusion

Explore Stable Diffusion for text-to-image generation using Keras. Learn to create custom images with Python, understand GANs, and dive into neural networks and convolutional computations.

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

Alexander Amini;  MIT

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in debiasing and image synthesis.

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

DigitalSreeni

Single Image Super Resolution Using SRGAN

Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.

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