the convolution operation #datascience #machinelearning #neuralnetworks #computervision

DataMListic · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

This video teaches the convolution operation in machine learning and neural networks

Full Transcript

This is where convolution comes in. Instead of looking at every pixel in relation to every other pixel, we take a small grid called a kernel and slide it across the image. Here we have a 3 by 3 kernel and our input is a 6 by 6 image. Let's see how it works. The kernel sits on top of a 3 by 3 patch of the image. First, we multiply each kernel value by the corresponding image value. That gives us nine products. Then, we add all those products together to get a single output number. So, the whole operation is just a multiplication followed by an addition. Now, the kernel slides to the next position and does the same thing, multiply then add. Each position produces one value, filling up the output grid one cell at a time. And the output size, if your input is H by W and your kernel is K by K, the output is H minus K plus one by W minus K plus one. So, our 6 by 6 input with a 3 by 3 kernel gives a 4 by 4 output.

Original Description

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