Variational Inference (VI) - 1.1 - Intro - Intuition Published 2022-08-09 Download video MP4 360p Recommendations 06:59 VI - 1.2 - Intro - History, Competitor, Outline 25:40 Mean Field Approach for Variational Inference | Intuition & General Derivation 26:17 Variational Auto Encoder (VAE) - Theory 11:33 Evidence Lower Bound (ELBO) - CLEARLY EXPLAINED! 25:28 Watching Neural Networks Learn 39:34 Variational Autoencoder from scratch in PyTorch 25:06 Variational Inference | Evidence Lower Bound (ELBO) | Intuition & Visualization 12:37 Chaos Theory: the language of (in)stability 05:58 A Simple Solution for Really Hard Problems: Monte Carlo Simulation 35:33 Variational Autoencoder - VISUALLY EXPLAINED! 36:09 Machine Learning: Variational Inference 15:05 Variational Autoencoders 17:35 The Reparameterization Trick 04:49 Gaussian Mixture Models (GMM) Explained 48:09 Variational Inference: Simple Example (+ Python Demo) 02:11 What is log likelihood and why do we use it? Similar videos 15:07 Variational Inference and Deep Learning: An Intuitive Introduction 25:33 [09x12] Bayesian Variational Inference (VI) using RxInfer.jl 1:18:12 Stanford CS330 I Variational Inference and Generative Models l 2022 I Lecture 11 14:31 Variational Methods: How to Derive Inference for New Models (with Xanda Schofield) 19:31 VI - 9.1 - SVI - Stochastic Variational Inference - Review 35:41 Demystifying Variational Inference (Sayam Kumar) 1:53:05 Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial) 19:14 Stat 157: An Introduction to Variational Inference 1:12:46 Variational Inference Lecture I|Probabilistic Modelling|Machine Learning More results