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YOLO

“The YOLO-scope! It stands for ‘You Only Look Once.” He aimed the YOLO-scope at a passing dragon. A neat little box appeared on the viewing screen around the creature, with a label that read: ‘Dragon… YOLO

Fast R-CNN

Blaze was fascinated by the tiny details of the world below. He dreamt of a way to instantly recognize every flower, every rock, and every scurrying critter in the meadow when he flies. One day,… Fast R-CNN

Types of Pooling operations

“You said pooling operations in Convolutional Neural Networks (CNNs) are like the magical zoom-out buttons.” “They reduce the size of feature maps while keeping the juicy bits of information. But how?” Peter asked. “There are… Types of Pooling operations

Why CNNs are so effective

“Professor, why is CNN so effective?” “CNNs don’t just look at the whole image like a confused tourist—they zoom in on tiny patches (called kernels) and analyze them like Sherlock Holmes inspecting clues.” “Ok. This… Why CNNs are so effective

The CNN Workflow

“What’s CNN workflow?” Alex asked. Peter replied, “If we have an input image represented as a tensor, like a 32×32 pixel image with 3 color channels (Red, Green, Blue) would have a shape of 32x32x3.”… The CNN Workflow

VGGNet in the Magic Canvas

“Wow. So this is the canvas that can do image classification and object detection?” Vixel asked. “Yes, I am VGG. VGG stands for Visual Geometry Group.” the Canvas replied. “More exactly, I’m VGG19, which means… VGGNet in the Magic Canvas

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