Explore the fundamentals of autoencoders in this comprehensive 28-minute video tutorial. Gain an intuitive understanding of representation learning, latent space, and other key concepts. Discover how autoencoders are applied to crucial tasks such as data generation and denoising. Learn about the key components of autoencoders, including encoders and decoders, and compare them to traditional techniques like PCA. Delve into deep autoencoders and convolutional autoencoders, and understand their training process. Explore various applications of autoencoders, including generation, denoising, and anomaly detection. Access accompanying slides and join a community of AI enthusiasts to further enhance your learning experience.
Overview
Syllabus
Intro
Key idea in autoencoders
Encoder
PCA vs Encoders
Decoder
Training autoencoders
Optimal autoencoder
Deep Autoencoder
Deep Convolutional Autoencoder
What's the point of compression/decompression?
Autoencoder applications
Generation with autoencoders
Denoising with autoencoders
Anomaly detection with autoencoders
Coming next
Taught by
Valerio Velardo - The Sound of AI
