Variational Autoencoder (VAE) Courses and Certifications

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

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

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

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
• 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

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
• On-Demand
• 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
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Towards Unsupervised Biomedical Image Segmentation Using Hyperbolic Representations - Jeffrey Gu

2 reviews

Explore unsupervised biomedical image segmentation using hyperbolic representations. Learn about novel self-supervised hierarchical loss and its applications in medical imaging analysis.

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

Deep Learning: GANs and Variational Autoencoders

3165 ratings at Udemy

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

• Udemy
• 7 hours 51 minutes
• On-Demand
• Paid Course

Microcredential

TensorFlow: Advanced Techniques

Expand TensorFlow expertise with advanced techniques in Functional API, model optimization, computer vision, and generative deep learning for powerful AI applications.

• Coursera
• 22 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

TensorFlow 2.0 Practical Advanced

337 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

• Udemy
• 13 hours
• On-Demand
• Paid Course

Generative AI for Data Science with Copilot

Explore generative AI in data science using Microsoft Copilot. Learn key concepts, practical applications, and ethical considerations while enhancing your AI-driven data analysis skills.

• Coursera
• 6 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Devoxx

Music Generation with Magenta - Using Machine Learning in the Arts

Explore machine learning for music generation using Magenta. Learn about neural networks, train models on your style, and create new rhythms, melodies, and audio clips.

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