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#Generative Adversarial Networks (GAN)

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Showing: 58 courses
Stanford University

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

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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.
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26 Lesons
56 minutes
On-Demand
Free-Video
University of Central Florida

Generative Adversarial Minority Oversampling

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Explore innovative techniques for addressing class imbalance in machine learning using generative adversarial networks and convex generators, with a focus on minority oversampling.
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12 Lesons
21 minutes
On-Demand
Free-Video
University of Central Florida

Multi-Agent Diverse Generative Adversarial Networks

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Explore diverse generative adversarial networks, focusing on multi-agent systems, mode collapse prevention, and competing objectives in machine learning.
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11 Lesons
37 minutes
On-Demand
Free-Video
University of Central Florida

VEEGAN - Reducing Mode Collapse in GANs Using Implicit Variational Learning

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Learn about VEEGAN, an innovative approach to reduce mode collapse in Generative Adversarial Networks (GANs) using implicit variational learning, with practical examples and results.
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9 Lesons
23 minutes
On-Demand
Free-Video
University of Central Florida

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

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Explore high-resolution image synthesis and semantic manipulation using conditional GANs, covering advanced techniques like coarse-to-fine generation and multi-scale discriminators for improved photorealism.
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14 Lesons
34 minutes
On-Demand
Free-Video
University of Central Florida

Keras Tutorial - Neural Network Architectures and Advanced Concepts - Part 2

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Learn advanced deep learning concepts including neural networks, VGG, residual connections, autoencoders, and GANs. Explore batch processing, reproducibility, and practical implementation in Keras.
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20 Lesons
2 hours 16 minutes
On-Demand
Free-Video
Aladdin Persson

StyleGAN Paper Explained

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Comprehensive explanation of StyleGAN paper, covering architecture, image quality techniques, style properties, mixing, disentanglement, and training details for advanced AI image generation.
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9 Lesons
41 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI.
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12 Lesons
41 minutes
On-Demand
Free-Video
DigitalSreeni

Semi-Supervised Learning with GANs in Keras

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Explore semi-supervised learning with GANs in Keras, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.
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7 Lesons
29 minutes
On-Demand
Free-Video
DigitalSreeni

Semi-Supervised Learning with GANs

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Explore semi-supervised learning with GANs, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.
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8 Lesons
34 minutes
On-Demand
Free-Video
DigitalSreeni

Single Image Super Resolution Using SRGAN

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Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.
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9 Lesons
29 minutes
On-Demand
Free-Video
DigitalSreeni

Unpaired Image to Image Translation Using CycleGAN - An Introduction

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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.
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7 Lesons
26 minutes
On-Demand
Free-Video
DigitalSreeni

Image to Image Translation Using Pix2Pix GAN

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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.
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6 Lesons
33 minutes
On-Demand
Free-Video
Institute for Advanced Study

Fixing GAN Optimization Through Competitive Gradient Descent - Anima Anandkumar

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Explore competitive gradient descent for optimizing GANs, covering strategic equilibria, applications in ML, and numerical results. Gain insights into modeling competing agents and solving GANs.
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20 Lesons
35 minutes
On-Demand
Free-Video
Launchpad

Making a 2D GAN 3D Aware

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Explore 3D-aware image generation by modifying StyleGANv2 with multiplane alpha maps and pose-conditioned discrimination, achieving high-quality, view-consistent results across diverse datasets.
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9 Lesons
22 minutes
On-Demand
Free-Video
Open Data Science

Exploring the Generative AI Landscape: From Basics to Hands-on Applications

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Comprehensive introduction to Generative AI, covering fundamentals, applications, and real-world impact. Includes hands-on demo and discussion of limitations, suitable for beginners and tech enthusiasts.
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8 Lesons
33 minutes
On-Demand
Free-Video
Nerdy Rodent

Image Datasets - StyleGAN - StyleGAN2 - StyleGAN2-ada Focus

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Explore ethical image collection, generation, and dataset creation for AI models. Learn about sources, tools, and techniques for building diverse and high-quality image datasets.
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10 Lesons
21 minutes
On-Demand
Free-Video
MITCBMM

Toward Brain Computer Interface - Deep Generative Models for Brain Reading

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Explore deep generative models for brain reading, covering GAN implementation, image reconstruction from brain signals, and evolving latent codes using genetic algorithms.
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12 Lesons
46 minutes
On-Demand
Free-Video
Aladdin Persson

WGAN Implementation From Scratch With Gradient Penalty

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Implement WGAN and WGAN-GP in PyTorch, focusing on improving GAN training stability through loss function modifications. Includes theoretical explanations and practical coding.
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7 Lesons
26 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

AudioGen- Textually Guided Audio Generation - Paper Explained

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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.
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13 Lesons
37 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Diffusion Models Beat GANs on Image Synthesis - ML Coding Series - Part 2

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Explore diffusion models for image synthesis, focusing on classifier guidance, training, and sampling techniques. Includes code walkthrough and paper analysis.
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14 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

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

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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.
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13 Lesons
43 minutes
On-Demand
Free-Video
TensorFlow

Generative Adversarial Networks and Stable Diffusion

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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.
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18 Lesons
44 minutes
On-Demand
Free-Video
TensorFlow

Generative Adversarial Networks and TF-GAN - ML Tech Talks

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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.
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7 Lesons
59 minutes
On-Demand
Free-Video
Computerphile

Generative Adversarial Networks - Computerphile

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Explore Generative Adversarial Networks (GANs) with Rob Miles, learning how neural networks compete to create new, realistic data like images and faces.
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14 Lesons
21 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

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

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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.
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15 Lesons
30 minutes
On-Demand
Free-Video
Yannic Kilcher

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

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Explore TransGAN, a novel approach using transformers for image generation. Learn about its architecture, key techniques, and competitive performance in various datasets.
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11 Lesons
30 minutes
On-Demand
Free-Video
Yannic Kilcher

Generative Adversarial Networks - Paper Explained

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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.
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9 Lesons
37 minutes
On-Demand
Free-Video
Yannic Kilcher

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

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Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.
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9 Lesons
55 minutes
On-Demand
Free-Video
Nicholas Renotte

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

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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.
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9 Lesons
2 hours 1 minute
On-Demand
Free-Video
David Shapiro ~ AI

AutoMuse- Synopsis GAN for Self-Improving Synopsis Generators

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Explore AI-powered synopsis generation using GANs and GPT-3, delving into creative writing applications, story idea generation, and the challenges of crafting compelling narratives and characters.
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18 Lesons
31 minutes
On-Demand
Free-Video
AssemblyAI

Building a GAN From Scratch With PyTorch - Theory + Implementation

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Learn to build a Generative Adversarial Network from scratch using PyTorch and PyTorch Lightning, covering theory, implementation, and testing in this comprehensive tutorial.
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6 Lesons
32 minutes
On-Demand
Free-Video
HuggingFace

Stable Diffusion and Friends - High-Resolution Image Synthesis via Two-Stage Generative Models

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Explore the evolution of generative image models with Stable Diffusion co-creator Robin Rombach, covering GANs, Transformers, and latent Diffusion models for high-resolution image synthesis and creative applications.
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27 Lesons
28 minutes
On-Demand
Free-Video
Launchpad

DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

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Learn about DF-GAN, a deep fusion architecture for text-to-image synthesis. Explore its simplified backbone, gradient penalty, and deep fusion block, with quantitative and qualitative results.
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17 Lesons
38 minutes
On-Demand
Free-Video
Runway

BigGAN and Other Generative Models

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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.
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9 Lesons
15 minutes
On-Demand
Free-Video
Alfredo Canziani

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

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Explore autoencoders, VAEs, and GANs with PyTorch. Learn implementation, visualization, and comparison of generative models through hands-on coding and insightful analogies.
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21 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Open Data Science

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

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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.
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17 Lesons
46 minutes
On-Demand
Free-Video
Prodramp

Text to Image AI Models - Different Methodologies and How It Works

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Explore various AI methodologies for text-to-image generation, including Autoregressive models, GANs, VQ-VAE Transformers, and Diffusion models. Learn their inner workings and compare advanced systems like DALL-E 2 and Google Imagen.
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18 Lesons
18 minutes
On-Demand
Free-Video
Abhishek Thakur

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

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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.
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37 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Paul Hand

Theory of GANs for Compressed Sensing

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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.
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10 Lesons
57 minutes
On-Demand
Free-Video
Outlier

VQ-GAN - PyTorch Implementation

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Implement Vector Quantized Generative Adversarial Networks (VQGAN) using PyTorch, covering encoder, decoder, codebook, discriminator, and transformer stages for high-resolution image synthesis.
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17 Lesons
38 minutes
On-Demand
Free-Video
Jeff Heaton

Train StyleGAN with Your Own Images

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Learn to train StyleGAN with your own images using Colab, covering image preparation, training setup, and resuming training for both StyleGAN2 and StyleGAN3 models.
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6 Lesons
21 minutes
On-Demand
Free-Video
Jeff Heaton

Training StyleGAN2 ADA PyTorch Images with Low GPU Memory - NVIDIA GEFORCE RTX 3060 Ti

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Learn to train StyleGAN2 ADA PyTorch on NVIDIA GEFORCE RTX 3060 Ti with limited GPU memory. Optimize settings, increase swap space, and adjust evaluation metrics for efficient 256x256 GAN training.
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8 Lesons
23 minutes
On-Demand
Free-Video
Jeff Heaton

Training a GAN from Your Own Images - StyleGAN2 ADA

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Learn to create custom GANs using your own images, from setup to training. Covers image collection, Docker setup, TFRecord conversion, and understanding GAN outputs for various projects like FishGAN and MinecraftGAN.
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14 Lesons
20 minutes
On-Demand
Free-Video
Jeff Heaton

Training a GAN on Your Own Images - StyleGAN2 ADA PyTorch

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Learn to install and use NVIDIA StyleGAN2 ADA for PyTorch on Windows 10, including setup, training, and image generation with new Ampere GPUs. Step-by-step guide for both beginners and advanced users.
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8 Lesons
33 minutes
On-Demand
Free-Video
Jeff Heaton

Exploring Style GAN2 Latent Vector - Controlling Facial Properties

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Dive into StyleGAN2's latent vectors to control facial features in generated images, including a technique for adding glasses to faces.
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5 Lesons
21 minutes
On-Demand
Free-Video
Jeff Heaton

Face Generation with NVIDIA StyleGAN2 and Python 3

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Generate realistic faces using nVidia StyleGAN2 and Python. Learn to utilize pretrained weights, TensorFlow wrapper, and Google CoLab GPU for efficient face generation without extensive training.
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21 Lesons
20 minutes
On-Demand
Free-Video
Jeff Heaton

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

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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.
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6 Lesons
23 minutes
On-Demand
Free-Video
Andreas Geiger

Generative Neural Scene Representations for 3D-Aware Image Synthesis

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Explore 3D-aware image synthesis using generative neural scene representations, covering GRAF, GIRAFFE, and CAMPARI models for advanced computer vision applications.
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7 Lesons
26 minutes
On-Demand
Free-Video
Code With Aarohi

StyleGAN Explained

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Comprehensive exploration of StyleGAN architecture, detailing its innovations over traditional GANs. Covers mapping networks, style control, and noise injection for high-quality image generation.
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14 Lesons
29 minutes
On-Demand
Free-Video
Code With Aarohi

What Are GANs - Generative Adversarial Networks Explained

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Explore generative adversarial networks (GANs), their working principles, training phases, and applications in AI and deep learning. Learn how GANs generate realistic data through generator-discriminator competition.
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25 Lesons
29 minutes
On-Demand
Free-Video
Strange Loop Conference

The Idea Becomes a Machine That Makes the Art

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Exploring human-machine collaboration in art creation, inspired by Sol LeWitt's Wall Drawings. Investigates the boundaries between idea, execution, and artistic authorship using AI and human interpretations.
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1 Lesons
39 minutes
On-Demand
Free-Video
APS Physics

History and Future Developments of Blue - Green - White LEDs and Laser Diodes

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Nobel laureate explores LED evolution, from groundbreaking research to revolutionary applications. Insights into InGaN technology, efficiency breakthroughs, and future prospects for energy-efficient lighting and beyond.
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21 Lesons
33 minutes
On-Demand
Free-Video
NDC Conferences

Artificial Intelligence - Our Journey Towards Singularity

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Explore AI's journey towards singularity, covering machine learning, deep learning, image recognition, generative AI, and natural language processing. Gain insights into current progress and future challenges.
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30 Lesons
48 minutes
On-Demand
Free-Video
NDC Conferences

ML BuzzWords Demystified

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Demystifies latest ML trends like Reinforcement Learning, AutoML, and ML bias. Provides clear insights into complex concepts, ensuring you're up-to-date with the field's advancements.
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39 Lesons
53 minutes
On-Demand
Free-Video
Aladdin Persson

Building Our First Simple GAN

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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.
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6 Lesons
24 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in debiasing and image synthesis.
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22 Lesons
55 minutes
On-Demand
Free-Video
DataLearning@ICL

Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference

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Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.
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1 Lesons
56 minutes
On-Demand
Free-Video