Module 1 · Computer Vision with Deep Learning
Image Fundamentals: lessons
Images as numbers, convolution as a sliding weighted sum, and why a CNN learns its own filters.
3 lessons · 48 min · 1 free to read now
What this module teaches, what it asks of you first and how you practise it are on its syllabus page.
Open the syllabusHow Computers See Images
18 minTo a computer an image is a table of numbers. Convolution — a small weighted sum slid across it — turns those numbers into edges, textures and eventually objects.
Image Preprocessing and Augmentation
16 minResizing, normalisation and augmentation that make a model robust to the real world.
Included with the track Simulation insidePooling and Receptive Fields
14 minHow deeper layers come to "see" larger parts of the image.
Included with the track Simulation inside