Variational Autoencoders Courses and Certifications

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 58 minutes
• On-Demand
• Paid Course

Alberta Machine Intelligence Institute

Generative AI for Audio and Images: Models and Applications

Explore advanced generative AI models like VAEs, GANs, Transformers, and Diffusion for creating audio, image, and video content with ethical considerations.

• Coursera
• 1 day 5 hours 17 minutes
• On-Demand
• Paid Course

Programming Generative AI: Unit 2

Explore advanced generative AI techniques for images and text using CNNs, autoencoders, diffusion models, and transformers with hands-on PyTorch and Hugging Face implementation.

• Coursera
• 8 hours 26 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Free Video

Stanford CS236 - Deep Generative Models I 2023

Master probabilistic foundations and algorithms for deep generative models including VAEs, GANs, normalizing flows, and diffusion models with applications across AI domains.

• YouTube
• 23 hours 38 minutes
• On-Demand
• Free Video

Build a Stable Diffusion VAE From Scratch Using PyTorch

Master building Variational Autoencoders (VAE) for image generation using PyTorch, focusing on implementation techniques for latent diffusion models and hands-on neural network training.

• freeCodeCamp
• 43 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Deep Generative Modeling

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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

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

Alfredo Canziani

NYU Deep Learning - Spring 2020

Master neural networks, CNNs, RNNs, GANs, and transformers through hands-on PyTorch implementation covering optimization, energy-based models, and applications in CV and NLP.

• YouTube
• 1 day 17 hours 12 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

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

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

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

Alexander Amini

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, VAEs, GANs, and diffusion models. Learn about latent variables, training techniques, and recent advances in generative AI.

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