Variational Autoencoders Courses and Certifications

Alexander Amini;  MIT

Deep Generative Modeling

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

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

Serrano.Academy

Generative Models

Explore denoising autoencoders, VAEs, GANs, and RBMs in this comprehensive introduction to generative models, covering key concepts and applications in machine learning.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

IEEE

Efficient Evaluation of Activation Functions over Encrypted Data

Explore techniques for approximating activation functions on encrypted data, with applications in secure machine learning for image classification and representation learning.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

Black Hat

An AI Approach to Malware Similarity Analysis - Mapping the Malware Genome With a Deep Neural Network

Explore AI-driven malware similarity analysis using deep neural networks for improved accuracy and adaptability in threat detection and classification.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

MLCon | Machine Learning Conference

Unsupervised Learning with Autoencoders

Explore autoencoder variants, their applications in unsupervised learning, and real-world use cases. Learn about anomaly detection, denoising, and generative models in this comprehensive overview.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Graham Neubig

Neural Nets for NLP - Latent Random Variables

Explore latent random variables in neural networks for NLP, covering variational autoencoders, discrete latent variables, and applications in language processing and text generation.

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

Graham Neubig

Neural Nets for NLP - Latent Variable Models

Explore latent variable models in NLP, covering variational autoencoders, discrete variables, and practical applications. Gain insights into generative modeling and advanced neural network techniques.

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

Prodramp

All Things VQGAN - Variational AutoEncoder and VQ-VAE with Codebook Explanations - Part 2

Explore Variational AutoEncoders and Vector Quantized VAE, focusing on codebook explanations. Learn how these advanced techniques improve upon traditional autoencoders for better image generation and representation.

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

Alan Turing Institute

Exploring the Cosmos with Deep Learning

Explore how deep learning revolutionizes cosmology, from detecting gravitational lenses to generating galaxy images and modeling cosmic structures, addressing challenges in modern astronomical surveys.

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

Alfredo Canziani

Self-Supervised Learning and Variational Inference

Explore self-supervised learning, variational inference, and advanced deep learning concepts with Yann LeCun. Gain insights into GANs, sparse modeling, and Variational Autoencoders (VAEs) in this comprehensive lecture.

• YouTube
• 1 hour 55 minutes
• On-Demand
• 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
• On-Demand
• 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
• 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

Valerio Velardo - The Sound of AI

Generation with AutoEncoders - Results and Limitations

Explore image generation using autoencoders, analyze latent space representations, and understand limitations in generative tasks. Learn why variational autoencoders are necessary for improved generation.

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