Semi-supervised Learning Courses and Certifications

Yannic Kilcher

FixMatch - Simplifying Semi-Supervised Learning with Consistency and Confidence

Explore FixMatch, a powerful semi-supervised learning approach combining consistency regularization and pseudo-labeling for improved model performance with limited labeled data.

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

Consistency-Based Semi-Supervised Learning for Object Detection

Explore semi-supervised learning for object detection, focusing on consistency-based approaches. Learn about loss functions, background elimination, and experimental results in this concise presentation.

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

DigitalSreeni

Semi-Supervised Learning with GANs in Keras

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.

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

DigitalSreeni

Semi-Supervised Learning with GANs

Explore semi-supervised learning with GANs, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.

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

Semi-Supervised Learning - Cats, Dogs and AI Magic

Discover how AI differentiates between cats and dogs through semi-supervised learning techniques, exploring wrapper methods and clustering for efficient model training.

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

Graham Neubig

Neural Nets for NLP 2020 - Unsupervised and Semi-supervised Learning of Structure

Explore unsupervised and semi-supervised learning methods for NLP, covering feature learning, structure learning, and design decisions with practical examples and applications.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

BIMSA

PDE-Based Models in Semi-Supervised Learning

Explore PDE-based models for semi-supervised learning through advanced mathematical frameworks and computational techniques in this specialized research presentation.

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

Yannic Kilcher

Self-Training With Noisy Student Improves ImageNet Classification - Paper Explained

Explore a novel semi-supervised learning approach for image classification using unlabeled data, improving model performance and robustness through iterative self-training and noise injection techniques.

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

Yannic Kilcher

Big Self-Supervised Models Are Strong Semi-Supervised Learners

Explore SimCLRv2, a powerful semi-supervised learning approach combining self-supervised pre-training, fine-tuning, and distillation to achieve state-of-the-art results with minimal labeled data.

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

ICTP Mathematics

Lipschitz Learning and the Infinity-Laplacian

Explore Lipschitz learning, infinity-harmonic functions, and their applications in Semi-Supervised Learning. Dive into the Lipschitz extension problem and AMLE, with insights on regularity and open challenges.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Harvard CMSA

The Value of Side Information in Unlabeled Data

Discover how side information in unlabeled data improves machine learning models through iterative pseudo-labeling and error decorrelation analysis.

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

Yannic Kilcher

HyperTransformer - Model Generation for Supervised and Semi-Supervised Few-Shot Learning

Explore HyperTransformer, a novel approach to few-shot learning using transformers to generate CNN weights. Learn about its architecture, advantages, and potential applications in machine learning.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Yannic Kilcher

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery

Explore dynamical distance learning for reinforcement agents, enhancing policy learning through state distance estimation. Discover applications in semi-supervised and unsupervised skill acquisition.

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

Graham Neubig

Neural Nets for NLP 2019 - Unsupervised and Semi-supervised Learning of Structure

Explore unsupervised and semi-supervised learning methods for NLP, covering feature and structure learning, design decisions, and practical examples in this advanced lecture.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Artificial Intelligence Foundations: Machine Learning

3421 ratings at LinkedIn Learning

Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.

• LinkedIn Learning
• 1 hour 51 minutes
• On-Demand
• Free Trial Available