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.