Variational Autoencoder (VAE) 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
• Self-Paced
• 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
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Yannic Kilcher

NVAE- A Deep Hierarchical Variational Autoencoder

Detailed explanation of NVAE, a deep hierarchical variational autoencoder for high-resolution image generation, covering architecture, training techniques, and state-of-the-art results.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

How to Implement a Variational Autoencoder in Python and Keras

Implement a Variational Autoencoder using Python, TensorFlow, and Keras. Learn to modify the encoder, update loss functions, train the model, and visualize the latent space for data generation.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Paul Hand

Variational Autoencoders

Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Michigan Engineering Applied Generative AI Specialization

1086 ratings at Simplilearn

Master advanced generative AI through hands-on learning with agentic frameworks, prompt engineering, LLM development, and real-world applications in this comprehensive Michigan specialization.

• Simplilearn
• 16 weeks
• Self-Paced
• Paid Course

Aladdin Persson

Variational Autoencoder From Scratch in PyTorch

Learn to implement a Variational Autoencoder from scratch using PyTorch, covering architecture, training loop, and inference with practical examples and code demonstrations.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Alfredo Canziani

From LV-EBM to Target Prop to Autoencoder

Explore various autoencoder types, from target propagation to variational autoencoders, understanding their mechanisms, applications, and differences in deep learning and neural network architectures.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Generating Sound Digits with a Variational Autoencoder

Learn to generate audio spectrograms of sound digits using a trained Variational Autoencoder, then convert them into audio. Includes implementation, scripting, debugging, and result evaluation.

• YouTube
• 35 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Building and Training an Autoencoder in Keras - TensorFlow - Python

Learn to build and train autoencoders using Python, TensorFlow, and Keras. Explore encoder-decoder architectures, implement training with the MNIST dataset, and gain practical insights into autoencoder development.

• YouTube
• 27 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video