Generation with AutoEncoders - Results and Limitations

Explore image generation techniques using autoencoders in this 23-minute video tutorial. Learn to generate handwritten digit images using Python and Keras, and analyze the dataset representation in the autoencoder's latent space. Discover the limitations of vanilla autoencoders for generative tasks and understand the need for variational autoencoders. Gain practical insights through code demonstrations, visualizations, and comparisons of original and reconstructed images. Delve into the challenges of autoencoders in generation and prepare for the transition to more advanced variational autoencoder models.

Intro
Generation with AutoEncoders
Analysis script
Comparing original and reconstructed images
Reconstructing images
Plotting original and reconstructed images
Plotting the learned representation
Problems of AutoEncoders for generation
From AutoEncoders to VAEs