Generalization Courses and Certifications

Simons Institute

Generalization and Overfitting in Two-Layer Neural Networks

Delve into the theoretical understanding of generalization in overparametrized neural networks, exploring concepts like implicit bias, benign overfitting, and feature learning through statistical physics approaches.

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

Montreal Robotics

Robot Learning: Generalization in Planning

Explore concepts of learning representations for plan generalization, connecting system identification, sim-to-real, meta reinforcement learning, and in-context learning with their limitations.

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

Simons Institute

Individual Gaps in Prediction Generalization

Explore how prediction models fail to generalize across individuals and the gaps that emerge in social system interventions.

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

The Wayward Path of Photographer Chris Burkard

The Wayward Path of Photographer Chris Burkard with Chris Burkard, Chase Jarvis

• CreativeLive
• 1 hour 9 minutes
• On-Demand
• Paid Course

Foundations of TDD in Kotlin with JUnit: The Principles

Master Test-Driven Development in Kotlin using JUnit, from Red-Green-Refactor workflow to SOLID principles and dependency injection, improving code quality through practical examples.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

HiSET Language Arts - Reading: Prep and Practice

Comprehensive preparation for HiSET Language Arts - Reading subtest, covering reading comprehension, literary analysis, and nonfiction text skills through engaging video lessons and practice quizzes.

• Study.com
• 11 hours 4 minutes
• On-Demand
• Paid Course

Productive Generalization - Timothy Gowers

Explore mathematical generalization with Timothy Gowers as he demonstrates how it drives progress in problem-solving, from fractional dimensions to the Hales-Jewett Theorem.

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

Understanding Deep Learning Requires Rethinking Generalization

Explore deep learning generalization, examining regularization techniques, randomization tests, and neural network expressivity to challenge conventional understanding and improve model performance.

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

Simons Institute

The Interpolation Phase Transition in Neural Networks - Memorization and Generalization Lazy Training

Explores overparametrization in neural networks, focusing on two-layer models in the neural tangent regime. Analyzes interpolation, optimization landscape, and generalization error under specific data assumptions.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Simons Institute

Generalization III

Explore advanced concepts in generalization theory with experts Peter Bartlett and Sasha Rakhlin, delving into deep learning applications and theoretical foundations.

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

International Centre for Theoretical Sciences

A New Generalization of Entanglement Entropy by Tadashi Takayanagi

Explore holography in string theory and its connection to entanglement entropy, including a new concept called pseudo entropy, with implications for quantum gravity and spacetime structure.

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

Institute for Pure & Applied Mathematics (IPAM)

Task Structure and Generalization in Graph Neural Networks

Explore graph neural networks' generalization properties, focusing on the interplay between task structure and architectural biases for improved learning and performance in algorithmic tasks.

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

Institute for Pure & Applied Mathematics (IPAM)

Generalization Theory in Machine Learning

Explore generalization theory in machine learning, covering traditional methods, deep learning, and statistical learning theory. Gain insights into overcoming the curse of dimensionality and understanding learning bounds.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Simons Institute

Studying Generalization in Deep Learning via PAC-Bayes

Explore PAC-Bayes theory's application to deep learning generalization, focusing on risk bounds, optimal priors, and SGD prediction for neural networks.

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

Simons Institute

Learning and Generalization in Over-parametrized Neural Networks - Going Beyond Kernels

Explore neural network learning and generalization beyond kernel methods, examining tangent kernels, learning algorithms, and complexity in over-parametrized networks.

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