Variational Autoencoders Courses and Certifications

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Deep Generative Models - Lecture 6: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Data Science Courses

Variational Autoencoders and Performers in Deep Learning - Lecture 15

Delve into advanced deep learning concepts including Variational Autoencoders (VAE), variational inference, ELBO computation, and Performer-based Transformer architectures.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Conference GSI

Continuous Kendall Shape Variational Autoencoders

Explore unsupervised learning of geometric representations using equivariant VAEs with hyperspherical latents, extending Kendall-shape VAEs for improved representation capacity.

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

CITA Presentations

Generative NonGaussianity - Normalizing Flows and Variational Autoencoders

Explore advanced machine learning techniques for generating non-Gaussian distributions, focusing on normalizing flows and variational autoencoders for complex data transformation and generation.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Broad Institute

Structured Variational Autoencoders for Prediction and Optimization; Diffusion for Molecule Generation - Primer

Explore structured variational autoencoders for prediction and optimization, along with diffusion models for molecule generation in drug discovery, focusing on deep generative models and their applications in temporal data modeling.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Generative Memory Lab

CoVAE - Consistency Training of Variational Autoencoders

Discover how consistency training improves Variational Autoencoders through CoVAE methodology, enhancing generative model performance and stability in deep learning applications.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Aladdin Persson

Variational Autoencoder Paper Walkthrough

Comprehensive walkthrough of the Variational AutoEncoder research paper, explaining key concepts, mathematical foundations, and practical applications in deep learning and generative modeling.

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

Broad Institute

Multi-omics Variational Autoencoding - Deep Dive and Primer

Explore multi-omics variational autoencoding for integrating complex biological datasets. Learn about MOVE pipeline, data preprocessing, model optimization, and approaches for determining associations between omics variables and categorical labels.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

Deep Learning: GANs and Variational Autoencoders

3384 ratings at Udemy

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

• Udemy
• 7 hours 52 minutes
• On-Demand
• Paid Course

Valence Labs

Identifiable Deep Generative Models via Sparse Decoding

Explore sparse VAE for unsupervised learning, uncovering identifiable latent factors in high-dimensional data. Discover theoretical guarantees and practical applications in various domains.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

What Is Generative AI?

116066 ratings at LinkedIn Learning

Learn about the basics of generative AI, including its history, popular models, how it works, ethical implications, and much more.

• LinkedIn Learning
• 1 hour 4 minutes
• On-Demand
• Free Trial Available

Serrano.Academy

Denoising and Variational Autoencoders

Explore autoencoders, powerful generative models for dimensionality reduction and data generation. Learn about denoising and variational autoencoders, their applications, and training techniques.

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

Valerio Velardo - The Sound of AI

From Autoencoders to Variational Autoencoders - Improving the Encoder

Explore the transformation from autoencoders to variational autoencoders, focusing on improved encoding using multivariate normal distributions for enhanced generative capabilities in AI and sound processing.

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

Generative AI and LLMs: Architecture and Data Preparation

409 ratings at Coursera

Explore generative AI architectures, LLMs, and data preparation techniques. Learn tokenization, data loading, and practical implementation using popular libraries for NLP and AI applications.

• Coursera
• 5 hours 41 minutes
• On-Demand
• Paid Course