Engineering AI Agents
BOOK
Foundations
Training Deep Networks
Perception
State Estimation
Large Language Models
Multimodal Reasoning
Planning
Markov Decision Processes
Reinforcement Learning
COURSES
Introduction to AI
AI for Robotics
Deep Learning for Computer Vision
DATA MINING - BEING PORTED
ABOUT ME
Generative Models
Generative Models
Generative models for images and video.
Author
Pantelis Monogioudis
Generative Modeling
Generative Modeling
The Expectation - Maximization (EM) Algorithm
Expectation Maximization for Gaussian Mixture Model
Variational Inference
VAE Architecture
Variational AutoEncoder - Keras
Variational Autoencoder from Scratch - Torch
Categories
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Generative Modeling
In generative modeling we want to model the generative distribution of the observed variables
\(\mathbf x\)
,
\(p(\mathbf x)\)
1
.
The Expectation - Maximization (EM) Algorithm
See in-person class notes for details. These notes will make it here during Summer 2025.
VAE Architecture
In a previous section we have seen that VAE helps us define the latent space. The ‘right’ latent space is the one that makes the distribution
\(p(\mathbf z| \mathbf \theta)\)
…
Variational Inference
In probabilistic graphical modeling we saw the necessity of latent representations. In this section we advance the topic to the case where we need to learn features that are…
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