In computer vision, what range of numbers represents pixels in
Chapter 1

How nature inspired digital eyes

Chapter 2

The math of sliding windows

Chapter 3

The great ImageNet breakthrough

Chapter 4

Computer vision in the wild

YOUR GOAL

Master of How computers learned to see the world

Ch 2 · The math of sliding windows
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007skaty The kernel matrix used in computer image processing

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007skaty CNN Sliding Window Math

Subtract the filter size from the padded space, And divide by the stride to find the output's place.

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We make sense of the whole by layering simple, localized observations.

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007skaty Neural networks shrink digital images using max pooling

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Shrinking the image with pooling

007skaty Max pooling scans two-by-two pixel grids, keeping only the highest value to cut the overall image size in

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The magic of the convolution step

007skaty A color-coded vector diagram shows a sliding filter grid creating a feature map

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The math of sliding windows
BETA

007skaty Slide the window across the pixel grid to discover how AI processes images.

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Fun Fact

Pixel math: To a computer, a black-and-white image is just a grid of numbers from zero (pure black) to 255 (pure white).

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Glossary
stride (noun)
A long, decisive step. In 1998, Yann LeCun's LeNet-5 system used a stride of one to scan handwritten zip codes.

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Gossip

Which visual feature is hardest to describe mathematically?

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Quiz

What size is a very common sliding kernel grid in convolutional neural networks?

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007skaty The convolution step in image recognition AI.

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Quiz

Which layer in a convolutional neural network actually makes the final decision, like 'this is a cat'?

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007skaty Deep neural networks organize visual data through stacked processing layers.

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Quiz

In computer vision, what range of numbers represents pixels in grayscale images?

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Quiz

What does Max Pooling do to an image's feature map?

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Quiz

What is the sliding grid of numbers used to detect features in a convolutional neural network called?

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Quiz

Why do convolutional neural networks use pooling layers?

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Quiz

What do the very first layers of a deep convolutional neural network typically look for?

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Quiz

What is the resulting grid called after a kernel slides over an image?

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