Hi HN, This is a video of my experience running a value-priced deep learning consulting workshop. Let me know if you have any specific questions about value-based pricing and the ticket buying process. -Sam
I don't know how the coordinates were defined for the 900 images. They might have just copy-pasted pixel readings from some image program like ImageJ for half an hour. At first I thought they used html area tags to define bounding coordinates for a number of circles or rects around every image coordinate, but in functions.js there's VoronoiGrid.js. I had never heard of that - it separates all of the coordinate points so that every image they used gets displayed (every image gets its own "puzzle piece" of pixels it will be retrieved for: no two images are in the same bounded area).
"I don't know how the coordinates were defined for the 900 images" this is what got me curious is it some manual work or some highly sophisticated image processing and machine learning setup ? (highly unlikely)
