Autoencoders Courses and Certifications

Enigmatic Autoencoders for Dimensionality Reduction

Build and tune Keras autoencoders to compress and reconstruct data for unsupervised dimensionality reduction.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Enigmatic Autoencoders for Dimensionality Reduction

Learn to use autoencoders in R to compress and reconstruct 2D data, then examine how activation functions, learning rates, and optimizers affect performance.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Serrano.Academy

Denoising and Variational Autoencoders

Explains how denoising and variational autoencoders compress data into latent representations, reconstruct inputs, remove image noise, and generate new examples.

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

DigitalSreeni

Application of Autoencoders - Image Colorization

Use convolutional autoencoders trained on grayscale/color image pairs to predict Lab color channels and colorize black-and-white images.

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

Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Encoder

Implement an autoencoder’s encoder in Python and Keras, adding convolutional layers and a bottleneck with TensorFlow.

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

Valerio Velardo - The Sound of AI

Autoencoders Explained Easily

Understand autoencoders intuitively, including latent representations, compression, generation, denoising, and anomaly detection.

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

DigitalSreeni

Pre-Training U-Net Using Autoencoders - Autoencoders and Visualizing Features

Learn how autoencoders reconstruct images, visualize learned feature maps, and generate encoder weights for pretraining U-Net models on domain-specific images.

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

Jeff Heaton

Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

Build autoencoders in TensorFlow and Keras for function approximation, image reconstruction, and denoising.

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

Valerio Velardo - The Sound of AI

Generation with AutoEncoders - Results and Limitations

Generate handwritten-digit images with an autoencoder, visualize its latent representation, and examine why variational autoencoders improve generative results.

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

Introduction Course to Autoencoders, VAEs, and GANs

Implement autoencoders, variational autoencoders, and GANs in TensorFlow: compress and reconstruct data, generate MNIST images, and train generator-discriminator pairs to produce realistic fakes.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Python Engineer

Autoencoder in PyTorch - Theory & Implementation

Learn how autoencoders encode and reconstruct images, then implement feed-forward and convolutional versions in PyTorch.

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

Alfredo Canziani

From LV-EBM to Target Prop to Autoencoder

Trace target propagation into vanilla, denoising, contractive, and variational autoencoders, including reconstruction costs and VAE mechanics.

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

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning through autoencoders, latent-space modeling, and generative applications such as inpainting and super-resolution.

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

Valerio Velardo - The Sound of AI

Building and Training an Autoencoder in Keras - TensorFlow - Python

Build and train an autoencoder in Python with Keras and TensorFlow using encoder-decoder architecture and the MNIST dataset.

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

Prodramp

All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1

Introduces how autoencoders use latent spaces and reconstruction error as foundations for VQGAN.

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