Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Boltzmann Machine: RBM

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (52)

Gradient Descent on Two-Layer ReLU Neural Networks Log in to Mediaspace to watch this video

Analyzes gradient descent on two-layer ReLU neural networks, exploring global convergence, regularization, implicit bias, and statistical efficiency.

Financial Time Series Analysis Log in to Mediaspace to watch this video

Covers stylized facts of asset returns, summary statistics, testing for normality, Q-Q plots, and efficient market hypothesis.

Improving Models of the Ventral Visual Pathway Log in to Mediaspace to watch this video

Explores computational models of the ventral visual system, focusing on optimizing networks for real-world tasks and comparing to brain data.

Machine Learning Fundamentals Log in to Mediaspace to watch this video

Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.

Compositional Representations and Systematic Generalization Log in to Mediaspace to watch this video

Examines systematicity, compositionality, neural network challenges, and unsupervised learning in NLP.

Introduction to Machine Learning: Course Overview and Basics Log in to Mediaspace to watch this video

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Deep Learning: Dimensionality and Data Representation Log in to Mediaspace to watch this video

Delves into deep learning's dimensionality, data representation, and performance in classifying large-dimensional data, exploring the curse of dimensionality and the neural tangent kernel.

Interactive Lecture: Reinforcement Learning Log in to Mediaspace to watch this video

Explores advanced reinforcement learning topics, including policies, value functions, Bellman recursion, and on-policy TD control.

Reinforcement Learning Concepts Log in to Mediaspace to watch this video

Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.

Logistic Regression: Classification Log in to Mediaspace to watch this video

Covers supervised learning, classification using logistic regression, and challenges in optimization.

Machine Learning and Modern AI: SWOT Analysis Log in to Mediaspace to watch this video

Covers a SWOT analysis of Machine Learning and Artificial Intelligence, exploring strengths, weaknesses, opportunities, and threats in the field.

Introduction to Reinforcement Learning: Concepts and Applications Log in to Mediaspace to watch this video

Introduces reinforcement learning, covering its concepts, applications, and key algorithms.

Learning Agents: Exploration-Exploitation Tradeoff Log in to Mediaspace to watch this video

Explores the exploration-exploitation tradeoff in learning unknown effects of actions using multi-armed bandits and Q-learning.

Efficient Machine Learning via Data Summarization Log in to Mediaspace to watch this video

Explores efficient machine learning through data summarization, covering challenges, methods, and impactful applications in various domains.

Graph Machine Learning Log in to Mediaspace to watch this video

Delves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

Learning-aided Program Reasoning Log in to Mediaspace to watch this video

Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.

Machine Learning at the Atomic Scale Log in to Mediaspace to watch this video

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Introduction to Data Science Log in to Mediaspace to watch this video

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Page 2 of 3