Super-Resolution Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA

Explore model-based deep learning for super-resolution microscopy, merging parametric models with optimization tools to create efficient, interpretable networks from limited training data.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Stable Diffusion

2 reviews

Explore latent diffusion models for AI image generation, including unconditional generation and super-resolution techniques.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Introduction to Convolutional Neural Networks - Part I - Lecture 8

Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

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 Online Course

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 Online Course

Meta

New Approaches to Image and Video Reconstruction Using Deep Learning

Explore cutting-edge deep learning techniques for image and video enhancement, including colorization and resolution improvement, using efficient PyTorch-based tools trainable on a single GPU.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

HuggingFace

Beyond Text - Giving Stable Diffusion New Abilities

Explore advanced Stable Diffusion techniques like face variation and super resolution with Lambda Labs' Justin Pinkey in this technical deep dive on expanding AI image generation capabilities.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Simons Institute

Deep Internal Learning - Deep Learning with Zero Examples

Explore deep learning without external data, focusing on internal learning for tasks like super-resolution and image segmentation. Discover innovative approaches and their applications in various domains.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar

Explore model-based deep learning for imaging and communications, merging parametric models with optimization tools for efficient, interpretable networks applicable to various real-world problems.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.

• YouTube
• 57 minutes
• On-Demand
• Free Online Course

GDC

Super Powering Technical Artists Using Deep Learning

Explore generative models in game development, focusing on style transfer, neural doodling, and image translation. Learn how deep learning enhances technical artistry and animation in Unity.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Deep Learning and Shape Modelling for Medical Image Reconstruction, Segmentation and Analysis

Explores deep learning techniques for MR image processing, incorporating anatomical shape information as prior knowledge to enhance reconstruction, super-resolution, and segmentation in medical imaging applications.

• YouTube
• 49 minutes
• On-Demand
• Free Online Course

Steve Brunton

Machine Learning for Fluid Dynamics - Patterns

Explore machine learning applications in fluid dynamics, focusing on pattern extraction and coherent structure identification in high-dimensional systems.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Steve Brunton

AI/ML and Physics - Choosing What to Model in Physics-Informed Machine Learning

Explore the intersection of AI/ML and physics, focusing on problem formulation and incorporating physics into machine learning models. Learn through case studies and practical applications.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

try! Swift Conference

Super Resolution with CoreML

Explore image super resolution using CoreML and Swift. Learn implementation, model training, and comparisons with conventional methods. Discover recent advancements in iOS machine learning.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk