Generative Adversarial Networks (GAN) Courses and Certifications

DigitalSreeni

Image to Image Translation Using Pix2Pix GAN

Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.

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

Aladdin Persson

Building Our First Simple GAN

Learn to build a simple Generative Adversarial Network (GAN) using fully connected layers and train it on the MNIST dataset. Explore the architecture, setup, and training process for this fundamental deep learning model.

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

AssemblyAI

Building a GAN From Scratch With PyTorch - Theory + Implementation

Learn to build a Generative Adversarial Network from scratch using PyTorch and PyTorch Lightning, covering theory, implementation, and testing in this comprehensive tutorial.

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

Nicholas Renotte

Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects

Learn to build a Generative Adversarial Network from scratch using Python and TensorFlow. Master data visualization, neural network construction, custom training loops, and image generation in this hands-on deep learning project.

• YouTube
• 2 hours 1 minute
• On-Demand
• Free Video

Yannic Kilcher

TransGAN - Two Transformers Can Make One Strong GAN - Machine Learning Research Paper Explained

Explore TransGAN, a novel approach using transformers for image generation. Learn about its architecture, key techniques, and competitive performance in various datasets.

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

Yannic Kilcher

Generative Adversarial Networks - Paper Explained

Explore the groundbreaking Generative Adversarial Networks paper, covering its innovative approach, theoretical foundations, and practical implications for AI-driven image generation and deep learning advancements.

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

Aladdin Persson

WGAN Implementation From Scratch With Gradient Penalty

Implement WGAN and WGAN-GP in PyTorch, focusing on improving GAN training stability through loss function modifications. Includes theoretical explanations and practical coding.

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

Aleksa Gordić - The AI Epiphany

VQ-GAN - Taming Transformers for High-Resolution Image Synthesis - Paper Explained

Explore VQ-GAN's innovative approach to high-resolution image synthesis, combining modified VQ-VAEs with GPT-2 for impressive results. Learn about perceptual loss, adversarial techniques, and comparisons with other models.

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

Alfredo Canziani

AE, DAE, and VAE with PyTorch - Generative Adversarial Networks and Code

Explore autoencoders, VAEs, and GANs with PyTorch. Learn implementation, visualization, and comparison of generative models through hands-on coding and insightful analogies.

• YouTube
• 1 hour 8 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

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

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

Runway

BigGAN and Other Generative Models

Explore BigGAN and BigBiGAN generative models, their functionality in RunwayML, and learn about image reconstruction techniques in this informative video on advanced AI-powered image generation.

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

DigitalSreeni

Unpaired Image to Image Translation Using CycleGAN - An Introduction

Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.

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

Aleksa Gordić - The AI Epiphany

AudioGen- Textually Guided Audio Generation - Paper Explained

Explore text-guided audio synthesis with AudioGen, delving into its architecture, audio representation, language modeling, and innovative approaches for generating diverse sounds from textual descriptions.

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