Machine Learning for Image Processing (part 2)

Preparatory Reading Material

• The Truth About Cats and Dogs
• Hubel and Wiesel Cat Experiment
• Generative Visual Manipulation on the Natural Image Manifold

Experience

• A curated list of GAN applications
• IBM-MIT Create Images with AI
• Linear Classification Loss Visualization
• GAN Lab - a demonstrator of how GANs work

Lecture Slides

• Lecture 5 Slides (PDF - 14 Mb)

Lecture Notes

Work in Progress

Additional Reading Material

• A beginner’s guide to understanding Convolutional Neural Networks
• Three Ways Computer Vision Is Transforming Marketing
• Interested in how human vision works? Two resources: Visual Processing: Eye and Retina,Visual Processing: Cortical Pathways
• Making AI Art Absolute Beginner’s Tutorial - Credits to Fabian Hoogendijk for suggesting the link