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

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

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

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

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

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

Probabilistic Deep Learning with TensorFlow 2

103 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI and LLMs: Architecture and Data Preparation

65 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 33 minutes
• On-Demand
• Free Online Course (Audit)

Coursera Instructor Network

GenAI and Model Selection

Master GenAI model selection to optimize workflows, make informed decisions, and drive innovation. Evaluate and integrate advanced AI technologies effectively for your specific organizational needs.

• Coursera
• 2 hours 27 minutes
• On-Demand
• Paid Course

Packt

Recommender Systems Complete Course Beginner to Advanced

Master recommender systems from basics to advanced techniques. Learn filtering methods, deep learning models, and build real-world applications using TensorFlow. Gain practical skills for product recommendations and more.

• Coursera
• 9 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Alexander Amini;  MIT

Deep Generative Modeling

1 review

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

What Is Generative AI?

79781 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

Exploring Generative AI Models and Architecture

218 ratings at Pluralsight

Explore generative AI models and architecture and apply key architectures like VAEs, Transformers, and GANs to real-world problems.

• Pluralsight
• 48 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