Autoencoders Courses and Certifications

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.

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

Deep Learning A-Z 2026: Neural Networks, AI & ChatGPT Prize

49284 ratings at Udemy

Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.

• Udemy
• 22 hours 33 minutes
• On-Demand
• Paid Course

Deep Learning: GANs and Variational Autoencoders

3384 ratings at Udemy

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

• Udemy
• 7 hours 52 minutes
• On-Demand
• Paid Course

International Centre for Theoretical Sciences

Anomaly Detection with Autoencoder

Learn to detect anomalies using autoencoders in high energy physics data analysis. Explore advanced machine learning techniques for uncovering rare events and potential new physics.

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

NPTEL-NOC IITM

CNN and Autoencoder Tutorial - Denoising Operations and Applications

Explore CNN applications on public datasets, denoising operations with autoencoders, and implementation using TensorFlow and Keras in this hands-on tutorial.

• YouTube
• 15 minutes
• On-Demand
• 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
• 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

Steve Brunton

Deep Learning to Discover Coordinates for Dynamics - Autoencoders & Physics Informed Machine Learning

Explore deep learning techniques for discovering effective coordinate systems in dynamical systems, enabling simpler models and physical law discovery. Focus on autoencoders and physics-informed machine learning.

• YouTube
• 27 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

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 21 hours
• On-Demand
• Paid Course

Alan Turing Institute

From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

Exploring causal inference, autoencoders, and gene regulation through genomics and 3D genome organization. Integrates data modalities, analyzes overparameterized autoencoders, and links memorization to real-valued data retrieval.

• YouTube
• 42 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

Jeff Heaton

Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

Learn to create and implement autoencoders in Keras and TensorFlow, including denoising autoencoders, for deep neural network applications in image processing and function approximation.

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

Simons Institute

Causality and Autoencoders in Light of Drug Repurposing for COVID-19

Explore causal inference and autoencoders in drug repurposing for COVID-19, covering observational data, causality hierarchy, and predicting interventions with Caroline Uhler from MIT.

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

Neural Breakdown with AVB

Understanding How Large Language Models Generate Images - From Autoencoders to Multimodal LLMs

Delve into the mechanics of image generation by multimodal LLMs, exploring autoencoders, latent spaces, VQ-VAEs, and codebook embeddings in modern AI models like Gemini and DALL-E.

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