Variational Inference and Neural Networks

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Related lectures (55)

Clustering Methods Log in to Mediaspace to watch this video

Covers K-means, hierarchical, and DBSCAN clustering methods with practical examples.

Fully Connected Networks on MNIST and SUSY Datasets Log in to Mediaspace to watch this video

Covers the implementation of fully connected neural networks on two datasets using PyTorch.

Stochastic Simulation: Computation and Estimation Log in to Mediaspace to watch this video

Covers computation and estimation in stochastic simulation, focusing on generating iid replicas and optimal importance sampling.

Feed-forward Networks Log in to Mediaspace to watch this video

Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.

Linear Regression: Confidence Bounds Log in to Mediaspace to watch this video

Covers linear regression coefficients, confidence intervals, and R's calculation methods.

Factored Representations: Planning Efficiency Log in to Mediaspace to watch this video

Explores factored representations for planning, focusing on reducing complexity and improving efficiency through separate feature modeling.

Principal Component Analysis: Olympic Medals & Image Compression Log in to Mediaspace to watch this video

Explores PCA for predicting medals distribution and compressing face images.

Gaussian Denoising: Statistical Physics Connection Log in to Mediaspace to watch this video

Explores deriving key identities for statistical physics and their application in Gaussian denoising problems.

Robustness in Visual Intelligence Log in to Mediaspace to watch this video

Explores robustness in visual intelligence, addressing distribution shifts, failure examples, and strategies for improvement.

Distributed Computing: Challenges and Solutions Log in to Mediaspace to watch this video

Explores challenges in distributed computing, data growth, and data types, emphasizing the battle against the three Vs in big data.

Predicting New Product Life Cycles: Machine Learning Approach Log in to Mediaspace to watch this video

Explores machine learning for predicting new product life cycles and the challenges of limited historical data.

McKay Graphs of Finite Subgroups of SU(2)Log in to Mediaspace to watch this video

Explores McKay graphs for finite subgroups of SU(2) and the corresponding Coxeter graphs.

Product Manufacturing Economics and Process Monitoring Log in to Mediaspace to watch this video

Explores product manufacturing costs, process limits quantification, and quality control methods.

Optical Computing Redux: Exploiting Light Scattering for Machine Learning Log in to Mediaspace to watch this video

Delves into optical computing using light scattering for machine learning tasks, exploring wavefront shaping and computational tools.

Linear Algebra: Abstract Concepts Log in to Mediaspace to watch this video

Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.

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